Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization

Fuente: arXiv
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Main Authors: Huang, Chin-Wei, Chen, Li-Fu, Su, Borching
Format: Preprint
Published: 2022
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author Huang, Chin-Wei
Chen, Li-Fu
Su, Borching
author_facet Huang, Chin-Wei
Chen, Li-Fu
Su, Borching
contents In an active sensing system, waveforms with good auto-correlations are preferred for accurate parameter estimation. Furthermore, spectral compatibility is required to avoid mutual interference between devices as the electromagnetic environment becomes increasingly crowded. Waveforms should also be unimodular due to hardware limits. In this paper, a new approach to generating a unimodular sequence with an approximately optimal peak side-lobe level (PSL) in auto-correlation and adjustable stopband attenuation is proposed. The proposed method is based on alternating minimization (AM) and numerical results suggest that it outperforms existing methods in terms of PSL. We also develop a theoretical lower bound for the PSL minimization problem under spectral constraints and unimodular constraints, which can be used for the evaluation of the results in various works about this waveform design problem. It is observed in the numerical results that the PSL of the proposed algorithm is close to the derived lower bound.
format Preprint
id arxiv_https___arxiv_org_abs_2210_08564
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization
Huang, Chin-Wei
Chen, Li-Fu
Su, Borching
Signal Processing
Optimization and Control
In an active sensing system, waveforms with good auto-correlations are preferred for accurate parameter estimation. Furthermore, spectral compatibility is required to avoid mutual interference between devices as the electromagnetic environment becomes increasingly crowded. Waveforms should also be unimodular due to hardware limits. In this paper, a new approach to generating a unimodular sequence with an approximately optimal peak side-lobe level (PSL) in auto-correlation and adjustable stopband attenuation is proposed. The proposed method is based on alternating minimization (AM) and numerical results suggest that it outperforms existing methods in terms of PSL. We also develop a theoretical lower bound for the PSL minimization problem under spectral constraints and unimodular constraints, which can be used for the evaluation of the results in various works about this waveform design problem. It is observed in the numerical results that the PSL of the proposed algorithm is close to the derived lower bound.
title Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization
topic Signal Processing
Optimization and Control
url https://arxiv.org/abs/2210.08564