Target Detection and Reduction of Interrupting Signals in Coherent MIMO Radar

Abstract

In Multiple Input Multiple Output (MIMO) Radar every antenna element transmits different waveforms, these waveform diversity enhanced MIMO Radar system dramatically. Coherent MIMO radar array elements are close enough so that every element sees the same target radar cross section (RCS). The target response is mainly interrupted by the unwanted signals (Noise, Clutter, and Jamming) associated with receiving signal that degrades Probability of detection as well as performance of MIMO radar system degrades. This thesis is proposed to eliminate unwanted part of the receiving signals and evaluate the probability of detection at the receiver of Coherent MIMO Radar; signal processing algorithm namely Space Time Adaptive Processing (STAP) based on MATLAB was used to meet the main objectives of this project. The simulation results show that PoD in Coherent MIMO radar could be enhanced when Space Time Code (STC) is used. This enhancement could be presented by significant improvement on PoD by 19%.Furthermore, in lower SNR case, PoD could be improved by reducing interrupting signals when STAP is used