基于水声扩频信号的空时分簇DoA估计算法

doi:10.11959/j.issn.1000-436x.2022164

通信学报 ›› 2022, Vol. 43 ›› Issue (8): 100-108.doi: 10.11959/j.issn.1000-436x.2022164

基于水声扩频信号的空时分簇DoA估计算法

周锋¹^,²^,³, 张宝胜¹^,²^,³, 张文博¹^,²^,³

¹ 哈尔滨工程大学水声技术重点实验室，黑龙江哈尔滨 150001
² 海洋信息获取与安全工信部重点实验室（哈尔滨工程大学），黑龙江哈尔滨 150001
³ 哈尔滨工程大学水声工程学院，黑龙江哈尔滨 150001

修回日期:2022-07-06 出版日期:2022-08-25 发布日期:2022-08-01
作者简介:周锋（1980- ），男，黑龙江哈尔滨人，博士，哈尔滨工程大学教授、博士生导师，主要研究方向为水声扩频通信和水声信号处理技术等
张宝胜（1998- ），男，湖北仙桃人，哈尔滨工程大学硕士生，主要研究方向为水声扩频通信、阵列信号处理技术
张文博（1992- ），男，黑龙江哈尔滨人，哈尔滨工程大学博士生，主要研究方向为水声扩频通信、阵列信号处理技术
基金资助:
国家自然科学基金资助项目(11974090);国家自然科学基金资助项目(U1806201);国防基础科研计划基金资助项目(JCKY2019604B001)

Space-time division cluster DoA estimation algorithm based on UWA spread spectrum signal

Feng ZHOU¹^,²^,³, Baosheng ZHANG¹^,²^,³, Wenbo ZHANG¹^,²^,³

¹ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
² Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China
³ College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

Revised:2022-07-06 Online:2022-08-25 Published:2022-08-01
Supported by:
The National Natural Science Foundation of China(11974090);The National Natural Science Foundation of China(U1806201);Defence Industrial Technology Development Program(JCKY2019604B001)

摘要/Abstract

摘要：

为了解决波达方向估计稳定性差、分辨率低、低信噪比下性能下降严重等问题，针对水声扩频信号提出了一种空时分簇波达方向估计算法。该算法利用时频二维搜索的思想，将常规波束成形和扩频序列结合，设置角度间隔搜索水声扩频信号的入射角度和到达时延，将空间谱上升至时延-角度谱，使其保持较高的分辨率。利用扩频序列的特性，使空时分簇波达方向估计具有抗干扰和低信噪比下稳健工作的能力。仿真与水池实验结果证明，与传统波达方向估计算法相比，所提算法在抗干扰性、分辨率、抗噪声方面具有更好的性能，同时不需要信源数估计以及角度预估计，具有更加稳健的性能。

关键词: 波达方向估计, 空时分簇, 水声扩频信号, 阵列信号处理

Abstract:

To solve the problems of poor stability, low resolution, and performance degradation under low signal-to-noise ratio (SNR) of the direction of arrival (DoA) estimation, a space-time division cluster (STDC) DoA estimation algorithm was proposed for under water acoustic (UWA) spread spectrum signal.The idea of the time-frequency two-dimensional search was used to combine the conventional beamforming with the spread spectrum sequence, set the angle interval to search the incidence angle and the arrival delay of the spread-spectrum signal, and increased the spatial spectrum to the delay angle spectrum, which kept the high resolution.STDC-DoA estimation can be anti-interference and stable operation under low SNR by using the characteristics of spread spectrum sequence.Finally, through simulation and pool experiment, it was proved that compared with the traditional DoA estimation algorithm, the proposed algorithm has better performance in anti-interference, resolution, and anti-noise.Meanwhile, the proposed algorithm does not need signal source number estimation and angle prediction and has more robust performance.

Key words: DoA estimation, space-time division cluster, UWA spread spectrum signal, array signal processing

中图分类号:

TB566

周锋, 张宝胜, 张文博. 基于水声扩频信号的空时分簇DoA估计算法[J]. 通信学报, 2022, 43(8): 100-108.

Feng ZHOU, Baosheng ZHANG, Wenbo ZHANG. Space-time division cluster DoA estimation algorithm based on UWA spread spectrum signal[J]. Journal on Communications, 2022, 43(8): 100-108.

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基于水声扩频信号的空时分簇DoA估计算法

Space-time division cluster DoA estimation algorithm based on UWA spread spectrum signal

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