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Optimal signals for MIMO RADAR in the presence of clutter

Naghibi, T ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICSCS.2008.4746865
  3. Publisher: 2008
  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 and found optimal signals, here we extend the results to the case where clutter is also present and then we will find the optimum waveform for MMSE estimator. Choosing optimal waveform for MMSE estimator leads to the Semidefinite programming (SDP) problem, a convex optimization problem which can be efficiently solved through numerical methods. Explicit solution is developed for this SDP problem in two cases .In the first case, target and clutter covariance matrices are jointly diagonalizable and in the second one, signal to noise ratio (SNR) is sufficiently high. © 2008 IEEE
  6. Keywords:
  7. Clutter (information theory) ; Convex optimization ; Covariance matrix ; MIM devices ; Multiplexing ; Numerical methods ; Optimization ; Signal to noise ratio ; Clutter covariances ; Convex optimization problems ; Explicit solutions ; Independent noise ; Mimo radars ; Optimal signals ; Semi-definite programming ; Signal-to-noise ratios ; Target identifications ; Wave forms ; Waveform designs ; Radar systems
  8. Source: 2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008, Nabeul, 7 November 2008 through 9 November 2008 ; January , 2008 ; 9781424426287 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4746865?arnumber=4746865