Compressive pulse-Doppler radar sensing via 1-bit sampling with time-varying threshold

This paper proposes a compressive pulse-Doppler radar that works through one-bit quantization of the received noisy signal. The one-bit quantization is performed by comparing the signal with a time-varying reference level. Considering the sparsity of the targets in the range-Doppler domain, the problem is dealt with by a sparse recovery method. The proposed method leads to an optimization problem that can be tackled by a convex approximation. Numerical examples show that the proposed method has a promising performance in the detection/estimation of the target parameters. Moreover, it is seen that in low signal to noise ratio, increasing the sampling rate at the receiver side is a compensating factor that effectively improves the performance.