@inproceedings{f9e4b4f66c454882a4cf135bd6865093,
title = "Estimation of Doppler, Range, and Direction of Targets in Wideband Bistatic Automotive Radar",
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.",
keywords = "Automotive radar, bistatic, DOA estimation, Doppler estimation, range estimation, wideband",
author = "Ali Moussa and Wei Liu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 ; Conference date: 06-04-2025 Through 11-04-2025",
year = "2025",
month = mar,
doi = "10.1109/ICASSP49660.2025.10888287",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
editor = "Rao, \{Bhaskar D\} and Isabel Trancoso and Gaurav Sharma and Mehta, \{Neelesh B.\}",
booktitle = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings",
}