Assessment of Signal-to-Clutter Ratio Improvement using TX Beamforming on Cascade FMCW Radar

The dynamic range of radar receiver chains is a critical concern in practical scenarios due to the significant variation in power levels between backscattered signals from desired targets and surrounding clutter. High Radar Cross Section (RCS) clutter echoes can easily overwhelm the receiver chain, particularly when the detection system is optimized for low RCS targets, such as UAVs or birds. This paper explores the potential enhancements offered by TX Digital Scanning Beamforming compared to conventional MIMO techniques. It introduces a straightforward model to predict these benefits, supported by an experimental validation using a Texas Instruments (TI) FMCW Cascade Radar platform operating in TX Beamforming mode, offering valuable insights into the achievable performance improvements.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/lacap63752.2024.10876272
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30
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article

Assessment of Signal-to-Clutter Ratio Improvement using TX Beamforming on Cascade FMCW Radar

Marco Passafiume, George Shaker, Neda Rojhani
1 citations
Radar Systems and Signal Processing
1.30
article

Assessment of Signal-to-Clutter Ratio Improvement using TX Beamforming on Cascade FMCW Radar

Marco Passafiume, George Shaker, Neda Rojhani
article en
1 citations

Abstract

The dynamic range of radar receiver chains is a critical concern in practical scenarios due to the significant variation in power levels between backscattered signals from desired targets and surrounding clutter. High Radar Cross Section (RCS) clutter echoes can easily overwhelm the receiver chain, particularly when the detection system is optimized for low RCS targets, such as UAVs or birds. This paper explores the potential enhancements offered by TX Digital Scanning Beamforming compared to conventional MIMO techniques. It introduces a straightforward model to predict these benefits, supported by an experimental validation using a Texas Instruments (TI) FMCW Cascade Radar platform operating in TX Beamforming mode, offering valuable insights into the achievable performance improvements.

University of Waterloo (CA), University of Toronto (CA)
Affordable and clean energy
Openalex Percentile: Top 11%
Radar Systems and Signal Processing
1.30
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Assessment of Signal-to-Clutter Ratio Improvement using TX Beamforming on Cascade FMCW Radar — Marco Passafiume, George Shaker, et al. · (2024) | TGRS Research Map | TGRS