RFI Mitigation for One-bit UWB Radar Systems
Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen, Petre Stoica

TL;DR
This paper introduces a novel RFI mitigation method for one-bit UWB radar systems using CTBV sampling, modeling RFI as sparse sinusoids, and extending the 1bRELAX algorithm with ADMM for improved efficiency and performance.
Contribution
It proposes a new RFI mitigation approach tailored for one-bit UWB radar systems employing CTBV sampling, extending existing algorithms with ADMM-based techniques.
Findings
Outperforms existing digital integration methods in severe RFI conditions
Effective RFI source parameter estimation from signed measurements
Significant computational efficiency improvements with ADMM-based initialization
Abstract
Radio frequency interference (RFI) mitigation is critical to the proper operation of ultra-wideband (UWB) radar systems since RFI can severely degrade the radar imaging capability and target detection performance. In this paper, we address the RFI mitigation problem for one-bit UWB radar systems. A one-bit UWB system obtains its signed measurements via a low-cost and high rate sampling scheme, referred to as the Continuous Time Binary Value (CTBV) technology. This sampling strategy compares the signal to a known threshold varying with slow-time and therefore can be used to achieve a rather high sampling rate and quantization resolution with rather simple and affordable hardware. This paper establishes a proper data model for the RFI sources and proposes a novel RFI mitigation method for the one-bit UWB radar system that uses the CTBV sampling technique. Specifically, we first model the…
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Taxonomy
TopicsMicrowave Imaging and Scattering Analysis · Sparse and Compressive Sensing Techniques · Advanced SAR Imaging Techniques
