PROJECT TITLE :

Detector and Waveform Design for MIMO Radar System with Noisy Channel Estimation

ABSTRACT:

It has been shown that time-reversal (TR), which was developed within the acoustics domain, will conjointly improve the detection performance of a radar system. But, the TR technique is now not a smart choice when the noise level is high since the retransmitted signal contains important noise elements. We tend to investigate a multiple-input multiple-output (MIMO) detection process just like TR detection, throughout that a waveform designed using the estimated channel and a parameter indicating the quality of the estimation is retransmitted, and therefore the detector determines the presence or absence of a target. We have a tendency to develop three detectors, whose theoretical thresholds and chances of detection are derived. Three schemes are proposed to style the retransmitted waveform with constraints on signal power. The designed detectors need totally different amounts of a priori info, whose performance is compared and analyzed. Numerical results show that all the three designed waveforms can improve the system performance considerably compared with the TR approach, however such enhancement is gained at the value of knowing the standard of channel estimation a priori.


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