Biologically Inspired Processing of Radar Waveforms for Enhanced Delay-Doppler Resolution

Rasool, S.B.; Bell, Mark

doi:10.1109/tsp.2011.2121904

Cited by 16 publications

(13 citation statements)

References 19 publications

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“…Therefore we conjecture that other processing techniques can be specifically designed to provide better target resolution (ability to separate two or more spatially close targets) than linear processing. In [9] non-linear processing at the receiver is shown to considerably improve delay-Doppler response compared with matched filter receiver with little degradation in detection performance. Single antenna radar was considered in [9] where independence in time was exploited to obtain ambiguity functions which were later non-linearly combined to reduce overall ambiguity.…”

Section: Introductionmentioning

confidence: 99%

“…In [9] non-linear processing at the receiver is shown to considerably improve delay-Doppler response compared with matched filter receiver with little degradation in detection performance. Single antenna radar was considered in [9] where independence in time was exploited to obtain ambiguity functions which were later non-linearly combined to reduce overall ambiguity. More details about their techniques and related work in this area can be found in [9] and [10].…”

Section: Introductionmentioning

confidence: 99%

“…Single antenna radar was considered in [9] where independence in time was exploited to obtain ambiguity functions which were later non-linearly combined to reduce overall ambiguity. More details about their techniques and related work in this area can be found in [9] and [10]. With the advent of the emerging concept of MIMO radar, we are interested in exploring the feasibility of non-linear processing schemes in that context.…”

Section: Introductionmentioning

confidence: 99%

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Non-linear processing for multicarrier MIMO Radar for Improved Target Resolution

Mahmood

Bell

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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The matched filter receiver is derived with signalto-noise ratio (SNR) or detection performance as the optimality criterion, and does not consider target resolution. In this paper, we investigate non-linear processing schemes which can provide resolution better than the matched filter receiver. A Multicarrier MIMO Radar is considered, where each transmit antenna uses a different subcarrier. First, we derive ambiguity function for such a system. Then we study the improvement in delay-Doppler images of proposed non-linear processing schemes when compared with optimal linear matched filter processing. Closed form expressions for probability of detection and false alarm for proposed schemes are then derived. We observe that our non-linear schemes provide significant improvement in target resolution with very small degradation in detection performance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-linear processing for multicarrier MIMO Radar for Improved Target Resolution

Mahmood

Bell

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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“…(i) The design of MIMO radar waveforms with good auto-and cross-ambiguities [6][7][8][9][10][11][12][13][14][15]. The ambiguity function (AF) is one of the commonly used tools to characterize the waveform resolution properties of the time delay (range) and Doppler effects (velocity) [16].…”

mentioning

confidence: 99%

“…Examples can be found in [6,[9][10][11][12]. The waveform designs without such simplification, i.e., waveform designs considering both delay and Doppler resolutions exist in [7,8,13]. Generally, MIMO radar waveform design is a difficult problem, especially when larger numbers of antennas are considered.…”

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confidence: 99%

Waveform and system design for colocated MIMO radar

Hua¹

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Upon the completion of this thesis, I would like to thank many people who have offered me invaluable help and guidance throughout the three years of research. First, I would like to express my sincere gratitude to my mentor, Dr. Saman S. Abeysekera, who has guided and advised me in every single stage along the way of my stay at Nanyang Technological university (NTU) as a PhD student. He never fails to inspire me on my research work with his valuable suggestions, advices, and comments through emails, meetings, or tea time talks. For me, he is a great advisor and friend, rather than a supervisor. I have learnt from him not only the research methodology and engineering skills, but also the appropriate attitudes to face the inevitable ups and downs and dilemmas encountered in one's life. I am also very grateful to Dr. Andy, W. H. Khong, who has brought me to graduate research environment when I was pursuing my MSc degree in Signal Processing. He has provided great help on programming using Matlab and technical paper writing. I thank him for his patience and guidance in helping a fresh research student to build up the basic abilities. I also thank him for giving me the opportunity to experience the collaboration with industry R&D departments. I would like to thank the technicians in Center for Signal Processing (CSP) at School of Electrical and Electronic Engineering (EEE) of NTU, Mr. YANG Yong Seng and Ms. TEO Siok khim. They are so friendly, polite, and considerate, who are always ready to support me with lab facilities and guidance. Last but not least, I would express my special thanks to my parents, HUA Shi Jian, HE Yu Mei, and my wife, LIU Ying. It is their continual love and support that enable me to conquer the challenges in my life and complete this work.

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Similarity learning for object recognition based on derived kernel

Wei

et al. 2012

Neurocomputing

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Biologically Inspired Processing of Radar Waveforms for Enhanced Delay-Doppler Resolution

Cited by 16 publications

References 19 publications

Non-linear processing for multicarrier MIMO Radar for Improved Target Resolution

Non-linear processing for multicarrier MIMO Radar for Improved Target Resolution

Waveform and system design for colocated MIMO radar

Similarity learning for object recognition based on derived kernel

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