| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563598 | Signal Processing | 2011 | 7 Pages |
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.
► The detection performance of MIMO-STAP is improved by waveform optimization. ► The DL-based method is proposed to handle the waveform optimization problem. ► The waveform optimization problem can be reformulated as an SDP. ► Robust waveform optimization will be explored in the future.
