High-Resolution Range-Doppler Imaging from One-Bit PMCW Radar via Generative Adversarial Networks

Fuente: arXiv
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Main Authors: Wang, Jingxian, Kahlert, Moritz, Fei, Tai, Zhang, Changxu, Wang, Zhaoze, Gardill, Markus
Format: Preprint
Published: 2025
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author Wang, Jingxian
Kahlert, Moritz
Fei, Tai
Zhang, Changxu
Wang, Zhaoze
Gardill, Markus
author_facet Wang, Jingxian
Kahlert, Moritz
Fei, Tai
Zhang, Changxu
Wang, Zhaoze
Gardill, Markus
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2503_12841
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle High-Resolution Range-Doppler Imaging from One-Bit PMCW Radar via Generative Adversarial Networks
Wang, Jingxian
Kahlert, Moritz
Fei, Tai
Zhang, Changxu
Wang, Zhaoze
Gardill, Markus
Signal Processing
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.
title High-Resolution Range-Doppler Imaging from One-Bit PMCW Radar via Generative Adversarial Networks
topic Signal Processing
url https://arxiv.org/abs/2503.12841