Generalized Arlery-Tan-Rabaste-Levenshtein Lower Bounds on Ambiguity Function and Their Asymptotic Achievability

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Hauptverfasser: Meng, Lingsheng, Guan, Yong Liang, Ge, Yao, Liu, Zilong, Fan, Pingzhi
Format: Preprint
Veröffentlicht: 2024
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author Meng, Lingsheng
Guan, Yong Liang
Ge, Yao
Liu, Zilong
Fan, Pingzhi
author_facet Meng, Lingsheng
Guan, Yong Liang
Ge, Yao
Liu, Zilong
Fan, Pingzhi
contents This paper presents generalized Arlery-Tan-Rabaste-Levenshtein lower bounds on the maximum aperiodic ambiguity function (AF) magnitude of unimodular sequences under certain delay-Doppler low ambiguity zones (LAZ). Our core idea is to explore the upper and lower bounds on the Frobenius norm of the weighted auto- and cross-AF matrices by introducing two weight vectors associated with the delay and Doppler shifts, respectively. As a second major contribution, we demonstrate that our derived lower bounds are asymptotically achievable with selected Chu sequence sets by analyzing their maximum auto- and cross- AF magnitudes within certain LAZ.
format Preprint
id arxiv_https___arxiv_org_abs_2402_00455
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Generalized Arlery-Tan-Rabaste-Levenshtein Lower Bounds on Ambiguity Function and Their Asymptotic Achievability
Meng, Lingsheng
Guan, Yong Liang
Ge, Yao
Liu, Zilong
Fan, Pingzhi
Information Theory
Signal Processing
This paper presents generalized Arlery-Tan-Rabaste-Levenshtein lower bounds on the maximum aperiodic ambiguity function (AF) magnitude of unimodular sequences under certain delay-Doppler low ambiguity zones (LAZ). Our core idea is to explore the upper and lower bounds on the Frobenius norm of the weighted auto- and cross-AF matrices by introducing two weight vectors associated with the delay and Doppler shifts, respectively. As a second major contribution, we demonstrate that our derived lower bounds are asymptotically achievable with selected Chu sequence sets by analyzing their maximum auto- and cross- AF magnitudes within certain LAZ.
title Generalized Arlery-Tan-Rabaste-Levenshtein Lower Bounds on Ambiguity Function and Their Asymptotic Achievability
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2402.00455