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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Panigrahi, T., Hanumantharao, A.D., Panda, G., Majhi, B. & Mulgrew, B. Maximum likelihood DOA estimation in distributed wireless sensor network using adaptive particle swarm optimization 2011 Proceedings of the 2011 International Conference on Communication, Computing &38; Security, pp. 134-137  inproceedings DOI URL 
    BibTeX:
    @inproceedings{Panigrahi:2011:MLD:1947940.1947969,
      author = {Panigrahi, Trilochan and Hanumantharao, A. D. and Panda, Ganapati and Majhi, Babita and Mulgrew, Bernard},
      title = {Maximum likelihood DOA estimation in distributed wireless sensor network using adaptive particle swarm optimization},
      booktitle = {Proceedings of the 2011 International Conference on Communication, Computing &38; Security},
      publisher = {ACM},
      year = {2011},
      pages = {134--137},
      url = {http://doi.acm.org/10.1145/1947940.1947969},
      doi = {http://doi.acm.org/10.1145/1947940.1947969}
    }
    
    Kelly, S., Rilling, G., Davies, M. & Mulgrew, B. Iterative Image Formation using Fast (Re/Back)-projection for Spotlight-mode SAR 2011 IEEE RadarCon  inproceedings  
    BibTeX:
    @inproceedings{KeyyRadarCon2011,
      author = {S.I. Kelly and G. Rilling and M.E. Davies and B. Mulgrew},
      title = {Iterative Image Formation using Fast (Re/Back)-projection for Spotlight-mode SAR},
      booktitle = {IEEE RadarCon},
      year = {2011}
    }
    
    Wan, S., Chung, P.-J. & Mulgrew, B. Near-field array shape calibration 2011 Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pp. 2564 -2567  inproceedings DOI  
    BibTeX:
    @inproceedings{WanICASSP2011,
      author = {Wan, Shuang and Chung, Pei-Jung and Mulgrew, Bernard},
      title = {Near-field array shape calibration},
      booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},
      year = {2011},
      pages = {2564 -2567},
      doi = {http://dx.doi.org/10.1109/ICASSP.2011.5947008}
    }
    
    Panigrahi, T., Panda, G., Mulgrew, B. & Majhi, B. Maximum Lilkelihood Source Localization in Wireless Sensor Network Using Particle Swarm Optimization 2011 International Conference on Electronics Systems (ICES-2011)  inproceedings URL 
    BibTeX:
    @inproceedings{PanigrahiICES2011,
      author = {T. Panigrahi and G. Panda and B. Mulgrew and B. Majhi},
      title = {Maximum Lilkelihood Source Localization in Wireless Sensor Network Using Particle Swarm Optimization},
      booktitle = {International Conference on Electronics Systems (ICES-2011)},
      year = {2011},
      url = {http://hdl.handle.net/2080/1365}
    }
    
    Bhatia, V. & Mulgrew, B. NPML based range measure for localization in interference limited wireless sensor networks 2010 Cognitive Wireless Systems (UKIWCWS), 2010 Second UK-India-IDRC International Workshop on, pp. 1 -5  inproceedings DOI  
    Abstract: A novel method of estimating the range for localization in a interference limited wireless sensor network (WSN) is proposed in this paper. The received sensor signal indication (RSSI) algorithm is the most common algorithm for sensor range measurement, however in interference limited environments it is prone to erroneous estimation. Thus a non-parametric maximum likelihood (NPML) adaptive estimator for channel localization in interference limited channels is proposed for localization in OFDM based WSN. A complete receiver architecture based on NPML is also introduced. Performance of the proposed algorithm is shown using simulation.
    BibTeX:
    @inproceedings{Bhatia2010UKIWCWS,
      author = {Bhatia, Vimal and Mulgrew, Bernard},
      title = {NPML based range measure for localization in interference limited wireless sensor networks},
      booktitle = {Cognitive Wireless Systems (UKIWCWS), 2010 Second UK-India-IDRC International Workshop on},
      year = {2010},
      pages = {1 -5},
      doi = {http://dx.doi.org/10.1109/UKIWCWS.2010.5724227}
    }
    
    Sahoo, U., Panda, G. & Mulgrew, B. Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon 2010 Advances in Recent Technologies in Communication and Computing (ARTCom), 2010 International Conference on, pp. 35 -39  inproceedings DOI  
    BibTeX:
    @inproceedings{Sahoo2010ArtCom,
      author = {Sahoo, U.K. and Panda, G. and Mulgrew, B.},
      title = {Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon},
      booktitle = {Advances in Recent Technologies in Communication and Computing (ARTCom), 2010 International Conference on},
      year = {2010},
      pages = {35 -39},
      doi = {http://dx.doi.org/10.1109/ARTCom.2010.37}
    }
    
    Abd-Elrady, E. & Mulgrew, B. Direct Learning Architectures for Digital Predistortion of Nonlinear Volterra Systems 2010 Sensor Signal Processing for Defence 2010 (SSPD 2010)  inproceedings  
    BibTeX:
    @inproceedings{AbdElrady2010SSPD,
      author = {E Abd-Elrady and B Mulgrew},
      title = {Direct Learning Architectures for Digital Predistortion of Nonlinear Volterra Systems},
      booktitle = {Sensor Signal Processing for Defence 2010 (SSPD 2010)},
      year = {2010}
    }
    
    Collins, R., Reekie, H. & Mulgrew, B. A Tracking Filter For Suppression of DDS Spurs 2010 IEEJ International Analog VLSI Workshop  inproceedings  
    BibTeX:
    @inproceedings{Collins2010,
      author = {R. Collins and H.M. Reekie and B Mulgrew},
      title = {A Tracking Filter For Suppression of DDS Spurs},
      booktitle = {IEEJ International Analog VLSI Workshop},
      year = {2010}
    }
    
    Pailhas, Y., Petillot, Y., Capus, C., Hollett, R. & Mulgrew, B. Study, design and concept of low frequency SAS 2010 International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar  inproceedings  
    BibTeX:
    @inproceedings{Paihas2010Lerici,
      author = {Y. Pailhas and Y Petillot and C Capus and R Hollett and B Mulgrew},
      title = {Study, design and concept of low frequency SAS},
      booktitle = {International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar},
      year = {2010}
    }
    
    Rilling, G., Du, C., Davies, M. & Mulgrew, B. Processing SAR data with gaps in the aperture: a compressed sensing perspective 2010 International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar  inproceedings  
    BibTeX:
    @inproceedings{Rilling2010Lerici,
      author = {G Rilling and C Du and M Davies and B Mulgrew},
      title = {Processing SAR data with gaps in the aperture: a compressed sensing perspective},
      booktitle = {International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar},
      year = {2010}
    }
    
    Wan, S., Chung, P.-J. & Mulgrew, B. Array shape self-calibration using particle swarm optimization and decaying diagonal loading 2010 Sensor Signal Processing for Defence 2010 (SSPD 2010)  inproceedings  
    BibTeX:
    @inproceedings{Wan2010SSPD,
      author = {S. Wan and P-J Chung and B Mulgrew},
      title = {Array shape self-calibration using particle swarm optimization and decaying diagonal loading},
      booktitle = {Sensor Signal Processing for Defence 2010 (SSPD 2010)},
      year = {2010}
    }
    
    Ahmed, S., Thompson, J., Mulgrew, B. & Petillot, Y. Fast computations of constant envelope waveforms for MIMO radar transmit beampattern 2010 Radar Conference, 2010 IEEE, pp. 458 -463  inproceedings DOI  
    BibTeX:
    @inproceedings{Ahmed2010Radar,
      author = {Ahmed, S. and Thompson, J.S. and Mulgrew, B. and Petillot, Y.},
      title = {Fast computations of constant envelope waveforms for MIMO radar transmit beampattern},
      booktitle = {Radar Conference, 2010 IEEE},
      year = {2010},
      pages = {458 -463},
      doi = {http://dx.doi.org/10.1109/RADAR.2010.5494578}
    }
    
    Ahmed, S., Thompson, J.S., Mulgrew, B. & Petillot, Y. Constant envelope waveform design for MIMO radar 2010 Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, pp. 4066 -4069  inproceedings DOI  
    BibTeX:
    @inproceedings{Ahmed2010ICASSP,
      author = {Ahmed, S. and Thompson, J. S. and Mulgrew, B. and Petillot, Y.},
      title = {Constant envelope waveform design for MIMO radar},
      booktitle = {Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on},
      year = {2010},
      pages = {4066 -4069},
      doi = {http://dx.doi.org/10.1109/ICASSP.2010.5495749}
    }
    
    Gera, G. & Mulgrew, B. Vertically challenged array design for DOA estimation 2010 Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, pp. 2630 -2633  inproceedings DOI  
    BibTeX:
    @inproceedings{Gera2010ICASSP,
      author = {Gera, G.P. and Mulgrew, B.},
      title = {Vertically challenged array design for DOA estimation},
      booktitle = {Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on},
      year = {2010},
      pages = {2630 -2633},
      doi = {http://dx.doi.org/10.1109/ICASSP.2010.5496257}
    }
    
    Du, C., Thompson, J., Mulgrew, B. & Petillot, Y. Detection performance of MIMO radar with realistic target models 2009 Radar Conference - Surveillance for a Safer World, 2009. RADAR. International, pp. 1 -5  inproceedings URL 
    BibTeX:
    @inproceedings{Du09Radar,
      author = {Du, C. and Thompson, J. and Mulgrew, B. and Petillot, Y.},
      title = {Detection performance of MIMO radar with realistic target models},
      booktitle = {Radar Conference - Surveillance for a Safer World, 2009. RADAR. International},
      year = {2009},
      pages = {1 -5},
      url = {http://see.conference-services.net/resources/253/1452/pdf/RADAR2009_0241.pdf}
    }
    
    Panigrahi, T., Pradhan, P., Panda, G., Majhi, B. & Mulgrew, B. Robust Distributed Optimization in Wireless Sensor Network 2009 Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on, pp. 249-253  inproceedings DOI  
    Abstract: The main challenges in estimating parameters in a sensor network are link failure and impulsive noise. Under such adverse conditions the conventional square error cost function based learning algorithms offer poor estimation performance. In this paper we propose a robust error saturation nonlinearity as cost function and use it for decentralized incremental estimation of parameters. Simulation results show that the proposed estimation method offers more robust distributed estimation compared to Huber loss function based estimation both in link failure and impulsive noise conditions.
    BibTeX:
    @inproceedings{Panigrahi2009ARTCOM,
      author = {Panigrahi, T. and Pradhan, P.M. and Panda, G. and Majhi, B. and Mulgrew, B.},
      title = {Robust Distributed Optimization in Wireless Sensor Network},
      booktitle = {Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on},
      year = {2009},
      pages = {249-253},
      doi = {http://dx.doi.org/10.1109/ARTCom.2009.40}
    }
    
    Du, H., Chung, P.-J. & Mulgrew, B. Robust Adaptive Modulation With Imperfect Channel Information 2009 European Signal Processing Conference (EUSIPCO-09)  inproceedings URL 
    BibTeX:
    @inproceedings{DuH2009EUSIPCO,
      author = {H Du and P-J Chung and B Mulgrew},
      title = {Robust Adaptive Modulation With Imperfect Channel Information},
      booktitle = {European Signal Processing Conference (EUSIPCO-09)},
      year = {2009},
      url = {http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569192378.pdf}
    }
    
    Gera, G. & Mulgrew, B. Antenna Array Cramer-Rao Bound Design By Element Relocation 2009 European Signal Processing Conference (EUSIPCO-09)  inproceedings URL 
    BibTeX:
    @inproceedings{GeraEUSIPCO2009,
      author = {G. Gera and B. Mulgrew},
      title = {Antenna Array Cramer-Rao Bound Design By Element Relocation},
      booktitle = {European Signal Processing Conference (EUSIPCO-09)},
      year = {2009},
      url = {http://www.eurasip.org/proceedings/eusipco/eusipco2009/contents/papers/1569192845.pdf}
    }
    
    Majhi, B., Panda, G. & Mulgrew, B. Robust identification and prediction using Wilcoxon norm and Particle Swarm Optimization 2009 European Signal Processing Conference (EUSIPCO-09)  inproceedings URL 
    BibTeX:
    @inproceedings{Majhi2009EUSIPCO,
      author = {B. Majhi and G. Panda and B. Mulgrew},
      title = {Robust identification and prediction using Wilcoxon norm and Particle Swarm Optimization},
      booktitle = {European Signal Processing Conference (EUSIPCO-09)},
      year = {2009},
      url = {http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569186026.pdf}
    }
    
    Majhi, B., Panda, G. & Mulgrew, B. Distributed identification of nonlinear processes using incremental and diffusion type PSO algorithms 2009 Evolutionary Computation, 2009. CEC '09. IEEE Congress on, pp. 2076-2082  inproceedings DOI  
    Abstract: This paper introduces two new distributed learning algorithms : Incremental Particle Swarm Optimization (IPSO) and Diffusion Particle Swarm Optimization (DPSO). These algorithms are applied for distributed identification of nonlinear processes using cooperation among adaptive nodes. Identification of four standard nonlinear plants have been carried out through simulation to assess the performance of these algorithms. The results indicate better or identical identification performance offered by the proposed distributed algorithms compared to that offered by the conventional PSO based algorithm. The improvement is observed in terms of CPU time, accuracy in response matching and speed of convergence.
    BibTeX:
    @inproceedings{Majhi2009CEC,
      author = {Majhi, B. and Panda, G. and Mulgrew, B.},
      title = {Distributed identification of nonlinear processes using incremental and diffusion type PSO algorithms},
      booktitle = {Evolutionary Computation, 2009. CEC '09. IEEE Congress on},
      year = {2009},
      pages = {2076-2082},
      doi = {http://dx.doi.org/10.1109/CEC.2009.4983197}
    }
    
    Cavalcante, R.L.G., Yamada, I. & Mulgrew, B. Learning in diffusion networks with an adaptive projected subgradient method 2009 Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, pp. 2853-2856  inproceedings DOI  
    Abstract: Summary: We present an algorithm that minimizes asymptotically a sequence of non-negative convex functions over diffusion networks. To account for possible node failures, position changes, and/or reachability problems (because of moving obstacles, jammers, et.....
    BibTeX:
    @inproceedings{Cavalcante2009ICASSP,
      author = {Renato L. G. Cavalcante and Isao Yamada and Bernard Mulgrew},
      title = {Learning in diffusion networks with an adaptive projected subgradient method},
      booktitle = {Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on},
      year = {2009},
      pages = {2853--2856},
      doi = {http://dx.doi.org/10.1109/ICASSP.2009.4960218}
    }
    
    Rilling, G., Davies, M. & Mulgrew, B. Compressed sensing based compression of SAR raw data 2009 Workshop: Signal Processing with Adaptive Sparse Structured Representation  inproceedings URL 
    BibTeX:
    @inproceedings{Rilling2009SPARS,
      author = {G. Rilling and M.E. Davies and B. Mulgrew},
      title = {Compressed sensing based compression of SAR raw data},
      booktitle = {Workshop: Signal Processing with Adaptive Sparse Structured Representation},
      year = {2009},
      url = {http://hal.archives-ouvertes.fr/docs/00/36/95/60/PDF/58.pdf}
    }
    
    Pradhan, P.M., Baghel, V., Panda, G. & Mulgrew, B. Energy Efficient Layout for a Wireless Sensor Network using Multi-Objective Particle Swarm Optimization 2009 Advance Computing Conference, 2009. IACC 2009. IEEE International, pp. 65-70  inproceedings DOI  
    Abstract: Summary: Layout is an important issue in designing sensor networks. This paper proposes a new approach for energy efficient layout of wireless sensor network. The sensors communicate with each other to transmit their data to a high energy communication node w.....
    BibTeX:
    @inproceedings{Pradhan2009ACC,
      author = {Pyari Mohan Pradhan and Vikas Baghel and Ganapati Panda and Bernard Mulgrew},
      title = {Energy Efficient Layout for a Wireless Sensor Network using Multi-Objective Particle Swarm Optimization},
      booktitle = {Advance Computing Conference, 2009. IACC 2009. IEEE International},
      year = {2009},
      pages = {65--70},
      doi = {http://dx.doi.org/10.1109/IADCC.2009.4808982}
    }
    
    Chen, L. & Mulgrew, B. A Robust Channel Estimator at the High Doppler Frequency via Matiching Pursuit Technique 2008 European Signal Processing Conference (EUSIPCO-08)  inproceedings  
    BibTeX:
    @inproceedings{Chen2008EUSIPCO,
      author = {L. Chen and B. Mulgrew},
      title = {A Robust Channel Estimator at the High Doppler Frequency via Matiching Pursuit Technique},
      booktitle = {European Signal Processing Conference (EUSIPCO-08)},
      year = {2008}
    }
    
    Du, H., Chung, P.-J., Gondzio, J. & Mulgrew, B. Robust Transmit Beamforming Based on Probablistic Constraint 2008 European Signal Processing Conference (EUSIPCO-08)  inproceedings  
    BibTeX:
    @inproceedings{Du2008EUSIPCO,
      author = {Huiqin Du and Pei-Jung Chung and Jacek Gondzio and Bernard Mulgrew},
      title = {Robust Transmit Beamforming Based on Probablistic Constraint},
      booktitle = {European Signal Processing Conference (EUSIPCO-08)},
      year = {2008}
    }
    
    Blanco, D., Ruiz, D., Carrion, M. & Mulgrew, B. Recovery of Images from a Mixture with Multiplicative Noise 2008 First IAPR Workshop on Cognitive Information Processing  inproceedings  
    BibTeX:
    @inproceedings{Blanco2008CIP,
      author = {D. Blanco and Ruiz, D.P. and Carrion, M.C. and Mulgrew, B.},
      title = {Recovery of Images from a Mixture with Multiplicative Noise},
      booktitle = {First IAPR Workshop on Cognitive Information Processing},
      year = {2008}
    }
    
    Aboutanios, E. & Mulgrew, B. Heterogeneity detection for hybrid STAP algorithm 2008 Radar Conference, 2008. RADAR '08. IEEE, pp. 1-4  inproceedings DOI  
    Abstract: Summary: Traditional STAP detectors require a secondary training data set that is target free and homogeneous with the cell under test (CUT). Hybrid detectors have been proposed for heterogeneous environments where the secondary data suffers from a statistica.....
    BibTeX:
    @inproceedings{Aboutanios_2008_IEEERadar,
      author = {E. Aboutanios and B. Mulgrew},
      title = {Heterogeneity detection for hybrid STAP algorithm},
      booktitle = {Radar Conference, 2008. RADAR '08. IEEE},
      year = {2008},
      pages = {1--4},
      doi = {http://dx.doi.org/10.1109/RADAR.2008.4720861}
    }
    
    Bhattacharya, S., Blumensath, T., Mulgrew, B. & Davies, M. Synthetic Aperture Radar raw data encoding using Compressed Sensing 2008 Radar Conference, 2008. RADAR '08. IEEE, pp. 1-5  inproceedings DOI  
    Abstract: Summary: Synthetic aperture radar (SAR) is active and coherent microwave high resolution imaging system, which has the capability to image in all weather and day-night conditions. SAR transmits chirp signals and the received echoes are sampled into In-phase (.....
    BibTeX:
    @inproceedings{Bhattacharya2008IEEERadar,
      author = {S. Bhattacharya and T. Blumensath and B. Mulgrew and M. Davies},
      title = {Synthetic Aperture Radar raw data encoding using Compressed Sensing},
      booktitle = {Radar Conference, 2008. RADAR '08. IEEE},
      year = {2008},
      pages = {1--5},
      doi = {http://dx.doi.org/10.1109/RADAR.2008.4720896}
    }
    
    Mishra, A.K. & Mulgrew, B. Multipolar SAR ATR: Experiments with the GTRI dataset 2008 Radar Conference, 2008. RADAR '08. IEEE, pp. 1-5  inproceedings DOI  
    Abstract: Summary: Multipolar radar data is a rich source of information. Even though multipolar synthetic aperture radar (SAR) images have been used extensively for remote sensing applications, the use of the same for airborne radar systems has been limited. With the .....
    BibTeX:
    @inproceedings{Mishra2008IEEERadar,
      author = {A. Kumar Mishra and B. Mulgrew},
      title = {Multipolar SAR ATR: Experiments with the GTRI dataset},
      booktitle = {Radar Conference, 2008. RADAR '08. IEEE},
      year = {2008},
      pages = {1--5},
      doi = {http://dx.doi.org/10.1109/RADAR.2008.4721002}
    }
    
    Papadopoulos, S. & Mulgrew, B. Scenario based RCS statistics of complex ground targets 2008 Radar Conference, 2008. RADAR '08. IEEE, pp. 1-5  inproceedings DOI  
    Abstract: Summary: This paper presents the statistical distribution functions of the radar cross section of a group of ground man-made targets in some specific operationally viable cases. It demonstrates the variety of distribution functions that can arise, the multimo.....
    BibTeX:
    @inproceedings{Papadoploulis2008IEEERadar,
      author = {S. Papadopoulos and B. Mulgrew},
      title = {Scenario based RCS statistics of complex ground targets},
      booktitle = {Radar Conference, 2008. RADAR '08. IEEE},
      year = {2008},
      pages = {1--5},
      doi = {http://dx.doi.org/10.1109/RADAR.2008.4721092}
    }
    
    Mulgrew, B. & Davies, M.E. Approximate lower bounds for rate-distortion in compressive sensing systems 2008 Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, pp. 3849-3852  inproceedings DOI  
    Abstract: Summary: We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate reduction. Simple approximate expression are developed for the minimum b.....
    BibTeX:
    @inproceedings{Mulgrew2008ICASSP,
      author = {B. Mulgrew and M. E. Davies},
      title = {Approximate lower bounds for rate-distortion in compressive sensing systems},
      booktitle = {Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on},
      year = {2008},
      pages = {3849--3852},
      doi = {http://dx.doi.org/10.1109/ICASSP.2008.4518493}
    }
    
    Aboutanios, E. & Mulgrew, B. Regularisation Methods for Covariance Matrix Estimation in Low Sample Support STAP 2007 IET International Radar Conference  inproceedings  
    BibTeX:
    @inproceedings{Aboutanios2007Radar07,
      author = {E. Aboutanios and B. Mulgrew},
      title = {Regularisation Methods for Covariance Matrix Estimation in Low Sample Support STAP},
      booktitle = {IET International Radar Conference},
      year = {2007}
    }
    
    Feng, H., A.Mishra & Mulgrew, B. Fractal Feature Based Radar Signal Classification 2007 IET International Radar Conference  inproceedings  
    BibTeX:
    @inproceedings{Feng2007Radar07,
      author = {H. Feng and A.Mishra and B. Mulgrew},
      title = {Fractal Feature Based Radar Signal Classification},
      booktitle = {IET International Radar Conference},
      year = {2007}
    }
    
    Lim, C. & Mulgrew, B. Bistatic JDL-STAP for Ground Moving Target Detection 2007 IET International Radar Conference  inproceedings  
    BibTeX:
    @inproceedings{Lim2007Radar07,
      author = {C. Lim and B. Mulgrew},
      title = {Bistatic JDL-STAP for Ground Moving Target Detection},
      booktitle = {IET International Radar Conference},
      year = {2007}
    }
    
    Papadopoulos, S. & Mulgrew, B. The Spectrum of Scattered Radar Signals from Complex Ground Targets 2007 IET International Conference on Radar  inproceedings  
    BibTeX:
    @inproceedings{Papadopoulos2007Radar07,
      author = {S. Papadopoulos and B. Mulgrew},
      title = {The Spectrum of Scattered Radar Signals from Complex Ground Targets},
      booktitle = {IET International Conference on Radar},
      year = {2007}
    }
    
    Bhattacharya, S., Blumensath, T., Mulgrew, B. & Davies, M. Fast Encoding of Synthetic Aperture Radar Raw Data using Compressed Sensing 2007 Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on, pp. 448-452  inproceedings DOI  
    Abstract: Summary: Synthetic Aperture Radar (SAR) is active and coherent microwave high resolution imaging system, which has the capability to image in all weather and day-night conditions. SAR transmits chirp signals and the received echoes are sampled into In-phase (.....
    BibTeX:
    @inproceedings{Bhattacharya2007SSP,
      author = {S. Bhattacharya and T. Blumensath and B. Mulgrew and M. Davies},
      title = {Fast Encoding of Synthetic Aperture Radar Raw Data using Compressed Sensing},
      booktitle = {Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on},
      year = {2007},
      pages = {448--452},
      doi = {http://dx.doi.org/10.1109/SSP.2007.4301298}
    }
    
    Aboutanios, E. & Mulgrew, B. Evaluation of the single and two data set STAP detection algorithms using measured data 2007 Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International, pp. 494 -498  inproceedings DOI  
    Abstract: Traditional space time adaptive processors for radar target detection require a training data set which is usually drawn from adjacent range gates. Clutter heterogeneity, however, can severely limit the available training sample support and consequently degrade the detection performance. The SDS algorithms, on the other hand, overcome this problem by operating solely on the test data without recourse to training data. In this paper we evaluate both of these approaches, in particular the AMF and MLED, using the MCARM data set. We illustrate the performance degradation of the AMF that results from the clutter heterogeneity and the corresponding advantage of the MLED. We also show that a calibration step of the spatial steering vectors results in significant performance improvement of all of the algorithms considered here.
    BibTeX:
    @inproceedings{Aboutanios_2007_IGRSS,
      author = {Aboutanios, E. and Mulgrew, B.},
      title = {Evaluation of the single and two data set STAP detection algorithms using measured data},
      booktitle = {Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International},
      year = {2007},
      pages = {494 -498},
      doi = {http://dx.doi.org/10.1109/IGARSS.2007.4422839}
    }
    
    Lim, C.-H., See, C.-M.S. & Mulgrew, B. Non-Linear Prediction of Inverse Covariance Matrix for STAP 2007
    Vol. 2Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on 
    inproceedings DOI  
    Abstract: Summary: For bistatic ground moving target indication radar, the clutter Doppler frequency depends on range for all array geometries. This range dependency leads to problems in clutter suppression through STAP techniques. In this paper, we propose a new appro.....
    BibTeX:
    @inproceedings{Lim2007ICASSP,
      author = {Chin-Heng Lim and Chong-Meng Samson See and Bernard Mulgrew},
      title = {Non-Linear Prediction of Inverse Covariance Matrix for STAP},
      booktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},
      year = {2007},
      volume = {2},
      doi = {http://dx.doi.org/10.1109/ICASSP.2007.366387}
    }
    

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