Matrix-Pencil Approach-Based Interference Mitigation for FMCW Radar Systems
Jianping Wang, Min Ding, and Alexander Yarovoy

TL;DR
This paper introduces a matrix pencil-based method for effectively mitigating interference in FMCW radar systems by reconstructing contaminated signal segments, demonstrating superior performance over existing techniques especially in low SNR conditions.
Contribution
The paper presents a novel interference mitigation technique using the matrix pencil method for FMCW radars, improving reconstruction accuracy and robustness over traditional methods.
Findings
Effective interference suppression demonstrated in simulations.
Superiority over zeroing and interpolation techniques in low SNR scenarios.
Validated on experimental data showing broad applicability.
Abstract
A novel matrix pencil-based interference mitigation approach for FMCW radars is proposed in this paper. The interference-contaminated segment of the beat signal is firstly cut out and then the signal samples in the cut-out region are reconstructed by modeling the beat signal as a sum of complex exponentials and using the matrix pencil method to estimate their parameters. The efficiency of the proposed approach for the interference with different parameters (i.e. interference duration, signal-to-noise ratio (SNR), and different target scenarios) is investigated by means of numerical simulations. The proposed interference mitigation approach is intensively verified on experimental data. Comparisons of the proposed approach with the zeroing and other beat-frequency interpolation techniques are presented. The results indicate the broad applicability and superiority of the proposed approach,…
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