Evaluation of Cognitive Radar Networks with Joint Adaptive Beamforming for Multipath Effect Mitigation

This paper evaluates the performance of cognitive radar networks using joint transmit-receive adaptive beamforming for multipath mitigation. Two monostatic radars are combined to form a cognitive radar network capable of mitigating multipath efficiently. The cognitive radar network senses the radar environment and turns on joint adaptive beamforming only when the multipath signals are expected to result in multipath nulls. Simulation results show that the cognitive radar network with joint adaptive beamforming achieve significant performance improvements in target signal to noise ratio (SNR) under strong multipath. This is achieved by sustaining a multipath gain and successfully suppressing nulls.