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Radio frequency interference (RFI) mitigation and radar echo recovery arecritically important for the proper functioning of ultra-wideband (UWB) radarsystems using one-bit sampling techniques. We recently introduced a techniquefor one-bit UWB radar, which first uses a majorization-minimization method forRFI parameter estimation followed by a sparse method for radar echo recovery.However, this technique suffers from high computational complexity due to theneed to estimate the parameters of each RFI source separately and iteratively.In this paper, we present a computationally efficient joint RFI mitigation andradar echo recovery framework to greatly reduce the computational cost.Specifically, we exploit the sparsity of RFI in the fast-frequency domain andthe sparsity of radar echoes in the fast-time domain to design a one-bitweighted SPICE (SParse Iterative Covariance-based Estimation) based frameworkfor the joint RFI mitigation and radar echo recovery of one-bit UWB radar. Bothsimulated and experimental results are presented to show that the proposedone-bit weighted SPICE framework can not only reduce the computational cost butalso outperform the existing approach for decoupled RFI mitigation and radarecho recovery of one-bit UWB radar.

Joint RFI Mitigation and Radar Echo Recovery for One-Bit UWB Radar