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

TL;DR

This paper introduces a computationally efficient joint RFI mitigation and radar echo recovery method for one-bit UWB radar, leveraging sparsity in frequency and time domains to outperform previous techniques.

Contribution

The paper proposes a novel one-bit weighted SPICE framework that reduces computational complexity and improves performance in joint RFI mitigation and radar echo recovery.

Findings

Reduces computational cost significantly.

Outperforms existing decoupled methods.

Validated with simulated and experimental data.

Abstract

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