Fast communication: Waveform optimization for MIMO-STAP to improve the detection performance

  • Authors:
  • Hongyan Wang;Guisheng Liao;Jun Li;Hui Lv

  • Affiliations:
  • National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China

  • Venue:
  • Signal Processing
  • Year:
  • 2011

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Abstract

In this letter, we address the problem of waveform optimization for multi-input multi-output (MIMO) space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. A novel diagonal loading (DL) based method is proposed to optimize the waveform covariance matrix (WCM) for maximizing the output signal-interference-noise ratio (SINR) of MIMO-STAP such that the detection performance can be maximized. The resultant nonlinear optimization problem is reformulated as a semidefinite programming (SDP) one, which can be solved very efficiently. Simulation results show that the output SINR of MIMO-STAP can be improved considerably by the proposed method, as compared to that of uncorrelated waveforms.