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Optimal and robust waveform design for MIMO radars

Naghibi, T ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/ICASSP.2009.4960026
  3. Publisher: 2009
  4. Abstract:
  5. Waveform design for Target identification and classification in MIMO radar systems has been studied in several recent works. While the previous works considered signal independent noise, here we extend the results to the case where signal-dependent noise, clutter, is also present and then we find the optimum waveform for several estimators differing in the assumptions on the given statistics. Computing the optimal waveforms for MMSE estimator leads to the Semi-definite programming (SDP) problem. Finding the optimal transmit signals for CSLS estimator results in a minimax eigenvalue problem. Finally it is shown that equal power waveforms are the best transmit signals for the SLS estimator. ©2009 IEEE
  6. Keywords:
  7. Eigenvalue problem ; Estimators ; Independent noise ; MIMO radar ; Minimax ; Power waveforms ; Semi-definite programming ; Signal dependent noise ; Target identification ; Wave forms ; Waveform ; Waveform designs ; Acoustics ; Eigenvalues and eigenfunctions ; Estimation ; Multiplexing ; Optimization ; Signal processing ; Waveform analysis ; Radar systems
  8. Source: 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, 19 April 2009 through 24 April 2009 ; 2009 , Pages 2085-2088 ; 15206149 (ISSN); 9781424423545 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4960026