Matrix analysis
SIAM Review
MIMO radar waveform optimization with prior information of the extended target and clutter
IEEE Transactions on Signal Processing
Clutter rank of STAP in MIMO radar with waveform diversity
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Waveform Synthesis for Diversity-Based Transmit Beampattern Design
IEEE Transactions on Signal Processing
Optimization of radar phase-coded signals for multiple target detection
Signal Processing
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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.