Ambiguity Function Shaping in FMCW Automotive Radar

Fuente: arXiv
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Auteurs principaux: Esmaeilbeig, Zahra, Bose, Arindam, Soltanalian, Mojtaba
Format: Preprint
Publié: 2024
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author Esmaeilbeig, Zahra
Bose, Arindam
Soltanalian, Mojtaba
author_facet Esmaeilbeig, Zahra
Bose, Arindam
Soltanalian, Mojtaba
contents Frequency-modulated continuous wave (FMCW) radar with inter-chirp coding produces high side-lobes in the Doppler and range dimensions of the radar's ambiguity function. The high side-lobes may cause miss-detection due to masking between targets that are at similar range and have large received power difference, as is often the case in automotive scenarios. In this paper, we develop a novel code optimization method that attenuates the side-lobes of the radar's ambiguity function. In particular, we introduce a framework for designing radar transmit sequences by shaping the radar Ambiguity Function (AF) to a desired structure. The proposed approach suppresses the average amplitude of the AF of the transmitted signal in regions of interest by efficiently tackling a longstanding optimization problem. The optimization criterion is quartic in nature with respect to the radar transmit code. A cyclic iterative algorithm is introduced that recasts the quartic problem as a unimodular quadratic problem (UQP) which can be tackled using power-method-like iterations (PMLI). Our numerical results demonstrate the effectiveness of the proposed algorithm in designing sequences with desired AF which is of great interest to the future generations of automotive radar sensors.
format Preprint
id arxiv_https___arxiv_org_abs_2402_16754
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Ambiguity Function Shaping in FMCW Automotive Radar
Esmaeilbeig, Zahra
Bose, Arindam
Soltanalian, Mojtaba
Signal Processing
Optimization and Control
Frequency-modulated continuous wave (FMCW) radar with inter-chirp coding produces high side-lobes in the Doppler and range dimensions of the radar's ambiguity function. The high side-lobes may cause miss-detection due to masking between targets that are at similar range and have large received power difference, as is often the case in automotive scenarios. In this paper, we develop a novel code optimization method that attenuates the side-lobes of the radar's ambiguity function. In particular, we introduce a framework for designing radar transmit sequences by shaping the radar Ambiguity Function (AF) to a desired structure. The proposed approach suppresses the average amplitude of the AF of the transmitted signal in regions of interest by efficiently tackling a longstanding optimization problem. The optimization criterion is quartic in nature with respect to the radar transmit code. A cyclic iterative algorithm is introduced that recasts the quartic problem as a unimodular quadratic problem (UQP) which can be tackled using power-method-like iterations (PMLI). Our numerical results demonstrate the effectiveness of the proposed algorithm in designing sequences with desired AF which is of great interest to the future generations of automotive radar sensors.
title Ambiguity Function Shaping in FMCW Automotive Radar
topic Signal Processing
Optimization and Control
url https://arxiv.org/abs/2402.16754