Azimuth Estimation of Multi-LFM Signals Based on Improved Complex Acoustic Intensity Method

Author:

Wang Yan,Wang Zherui,Wang YilinORCID,Dong Wenfeng,Lan TianORCID

Abstract

The complex acoustic intensity method is one of the common methods used for the azimuth estimation of single-vector sensors. However, this method establishes a relationship between frequency and azimuth, which limits its practical applicability for multiple linear frequency modulation (LFM) signals with overlapping frequency domains. In this paper, the time–frequency distribution information of the LFM signal is combined with the complex acoustic intensity method, and more signal parameter information is used to expand the application scenario of the single-vector sensor. The proposed method first processes the time–frequency graph of the signal to obtain a stable and clear time–frequency distribution, and then obtains the acoustic intensity distribution of the signal using the time integration of the energy on the ridge of the signal to estimate the target orientation more stably. The simulation results show that the root mean square error of azimuth estimation is less than 1° when the SNR is greater than 0 dB. Furthermore, a pool experiment was carried out to verify the effectiveness of the proposed method.

Funder

National Natural Science Foundation of China

Defence Industrial Technology Development Program

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference27 articles.

1. Signal analysis by means of time-frequency (Wigner-type) distributions-applications to sonar and radar echoes;Proc. IEEE,1996

2. Localization of targets in CW-LFM radars with combined modulating signal;J. Contemp. Phys.,2011

3. Joint time-frequency analysis for radar signal and image processing;IEEE Signal Process. Mag.,1999

4. Elimination of cross-terms in the Wigner-Ville distribution of multi-component LFM signals;IET Signal Process.,2017

5. Parameter estimation of linear frequency modulation signals based on sampling theorem and fractional broadening;Rev. Sci. Instrum.,2019

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3