High-Resolution Range-Doppler Imaging from One-Bit PMCW Radar via Generative Adversarial Networks
Abstract
Digital modulation schemes such as PMCW have recently attracted increasing attention as possible replacements for FMCW modulation in future automotive radar systems. A significant obstacle to their widespread adoption is the expensive and power-consuming ADC required at gigahertz frequencies. To mitigate these challenges, employing low-resolution ADC, such as one-bit, has been suggested. Nonetheless, using one-bit sampling results in the loss of essential information. This study explores two RD imaging methods in PMCW radar systems utilizing NN. The first method merges standard RD signal processing with a GAN, whereas the second method uses an E2E strategy in which traditional signal processing is substituted with an NN-based RD module. The findings indicate that these methods can substantially improve the probability of detecting targets in the range-Doppler domain.
Cite
@article{arxiv.2503.12841,
title = {High-Resolution Range-Doppler Imaging from One-Bit PMCW Radar via Generative Adversarial Networks},
author = {Jingxian Wang and Moritz Kahlert and Tai Fei and Changxu Zhang and Zhaoze Wang and Markus Gardill},
journal= {arXiv preprint arXiv:2503.12841},
year = {2025}
}