Space-Time Adaptive Processing for Target Detection on Transceiver-Subarray-MIMO Radar

Radar applications, especially for the automotive, marine, military, surveillance, etc., really need radar with specifications such as high-angular resolution, anti-jamming-interference and clutter, low sidelobe level, etc. MIMO radar with transceiver-subarray method is here to solve this problem. The existence of a subarray at transmit (Tx) and receiver (Rx) that work simultaneously is capable of providing high processing gain and waveform diversity but has problems with target detection, especially those caused by jamming, interference, and clutter. To overcome the detection performance due to these problems, this paper proposes a combination of the flexible configuration of this radar with the space-time adaptive processing (STAP) method which involves multi-pulse transmission. Detection performance is determined based on probability of detection (PoD) as a function of SNR which considers the number of Tx-Rx subarrays, the number of transmission pulses, and the probability of false alarm. The effectiveness of the evaluation results for numerical simulations between the detection performance of this radar with and without STAP has been presented in this paper. As an example a numerical evaluation of the SNR is +5dB, the PoD values without and with the STAP method for radar configurations with number of Tx-subarrays $\left(N_{\mathrm{TS})}\right.$ and number of Rx-subarrays $\left(N_{\mathrm{RS}}\right)$ namely (4,8) are obtained 99.09% and 99.77%, respectively.