Estimation of Doppler, Range, and Direction of Targets in Wideband Bistatic Automotive Radar

The wideband bistatic radar problem for automotive applications is addressed, and the localisation task is decomposed into three stages where Doppler is firstly estimated, followed by range, and direction. Group sparsity is applied to estimate the Doppler frequencies of all targets. Then, for each target, the estimated Doppler parameters are used to obtain the range parameters from sparse signals that have been compensated for range walk. By removing the effect of range walk, and introducing a CLEAN-like approach, the range and Doppler parameters for each target are then successfully paired. Finally, the direction-of-arrival is estimated through group sparsity and the target parameters are paired via a maximum-likelihood-based approach. Simulations show that significant enhancement in estimation performance can be achieved using the proposed method in comparison with a narrowband approach.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10888287
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
4.99

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article

Estimation of Doppler, Range, and Direction of Targets in Wideband Bistatic Automotive Radar

Ali Moussa, Wei Liu
1 citations
Radar Systems and Signal Processing
4.99
article

Estimation of Doppler, Range, and Direction of Targets in Wideband Bistatic Automotive Radar

Ali Moussa, Wei Liu
article en
1 citations

Abstract

The wideband bistatic radar problem for automotive applications is addressed, and the localisation task is decomposed into three stages where Doppler is firstly estimated, followed by range, and direction. Group sparsity is applied to estimate the Doppler frequencies of all targets. Then, for each target, the estimated Doppler parameters are used to obtain the range parameters from sparse signals that have been compensated for range walk. By removing the effect of range walk, and introducing a CLEAN-like approach, the range and Doppler parameters for each target are then successfully paired. Finally, the direction-of-arrival is estimated through group sparsity and the target parameters are paired via a maximum-likelihood-based approach. Simulations show that significant enhancement in estimation performance can be achieved using the proposed method in comparison with a narrowband approach.

Hong Kong Polytechnic University (HK)
Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 7%
Radar Systems and Signal Processing
4.99
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Estimation of Doppler, Range, and Direction of Targets in Wideband Bistatic Automotive Radar — Ali Moussa, Wei Liu · (2025) | TGRS Research Map | TGRS