复杂水下环境中的Dual-HFM速度谱优化

doi:10.12305/j.issn.1001-506X.2023.10.01

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (10): 2999-3007.doi: 10.12305/j.issn.1001-506X.2023.10.01

• 电子技术 •

复杂水下环境中的Dual-HFM速度谱优化

扶钰斌¹^,², 马晓川¹^,²^,*, 李璇¹^,², 孙博昊¹^,², 陈筱月¹^,², 裴兴园¹^,²

1. 中国科学院声学研究所水下航行器实验室, 北京 100190
2. 中国科学院大学, 北京 100049

收稿日期:2022-06-16 出版日期:2023-09-25 发布日期:2023-10-11
通讯作者: 马晓川
作者简介:扶钰斌(1998—), 男, 博士研究生, 主要研究方向为信号与信息处理、参数估计、波形设计等
马晓川(1969—), 男, 研究员, 博士, 主要研究方向为水声信号处理、水下航行器自主导航与控制、阵列信号处理、模式识别等
李璇(1983—), 女, 研究员, 博士, 主要研究方向为水声信号处理、多航行器协同、参数估计、水声阵列信号处理等
孙博昊(1998—), 男, 硕士研究生, 主要研究方向为信号与信息处理、硬件设计等
陈筱月(1996—), 男, 博士研究生, 主要研究方向为信号与信息处理、水声阵列信号处理、水声成像等
裴兴园(1996—), 男, 博士研究生, 主要研究方向为信号与信息处理、水声阵列信号处理等
基金资助:
中国科学院声学研究所自主部署“前沿探索”类项目(QYTS202013)

Dual-HFM speed spectrum optimization in complex underwater environments

Yubin FU¹^,², Xiaochuan MA¹^,²^,*, Xuan LI¹^,², Bohao SUN¹^,², Xiaoyue CHEN¹^,², Xingyuan PEI¹^,²

1. Laboratory of Autonomous Underwater Vehicles, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2022-06-16 Online:2023-09-25 Published:2023-10-11
Contact: Xiaochuan MA

摘要/Abstract

摘要：

在理想环境下，双双曲调频(dual hyperbolic frequency modulation, Dual-HFM)速度谱估计方法可得到高分辨率的连续多普勒估计结果。然而由多径、双目标环境引起的旁瓣干扰, 削弱了速度谱方法抑制噪声的能力, 影响目标参数估计。针对该方法在多径、双目标等各种复杂水声环境中的应用, 进行了深入的讨论, 推导了多径、双目标造成的速度谱旁瓣位置, 并提出了基于多帧信号的速度谱旁瓣抑制方法, 利用另一维度信号空间中目标回波信息与多径杂波旁瓣的差异性, 抑制了复杂水下环境中的速度谱旁瓣, 并保留了速度谱计算量低的优点。通过数值仿真验证了所提方法的适用性, 为低信噪比、多径、双目标环境下的多普勒估计提供了理论依据。

关键词: 双双曲调频信号, 多普勒估计, 多径效应, 多帧信号, 旁瓣抑制

Abstract:

The dual hyperbolic frequency modulated (Dual-HFM) speed spectrum estimation method pro-vides high-resolution continuous Doppler estimation results under ideal conditions. However, the sidelobe supp-ression caused by the multipath and dual-target environment weakens the ability of the speed spectrum method to suppress noise and affects the target parameter estimation. In this paper, the application of this method in various complex underwater acoustic environments such as multipath and dual-target is discussed in depth, and the position of the speed spectrum sidelobe caused by multipath and dual-target is derived. The speed spectrum sidelobe suppression method based on a multi-frame signal is proposed. It uses the difference between the target echo information and the multipath sidelobe clutter in the signal space of another dimension to suppress the speed spectrum sidelobe in the complex underwater environment, and retains the advantages of low speed spectrum calculation. The applicability of the proposed method is verified by numerical simulation, which provides a theoretical basis for Doppler estimation in low signal-to-noise ratio, multipath and dual-target envi-ronments.

Key words: dual hyperbolic frequency modulation (Dual-HFM), Doppler estimation, multipath effect, multi-frame signal, sidelobe suppression

中图分类号:

TN911.23

扶钰斌, 马晓川, 李璇, 孙博昊, 陈筱月, 裴兴园. 复杂水下环境中的Dual-HFM速度谱优化[J]. 系统工程与电子技术, 2023, 45(10): 2999-3007.

Yubin FU, Xiaochuan MA, Xuan LI, Bohao SUN, Xiaoyue CHEN, Xingyuan PEI. Dual-HFM speed spectrum optimization in complex underwater environments[J]. Systems Engineering and Electronics, 2023, 45(10): 2999-3007.

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参考文献 30

1	ALTES R A . Sonar for generalized target description and its similarity to animal echolocation systems[J]. The Journal of the Acoustical Society of America, 1976, 59 (1): 97- 105. doi: 10.1121/1.380831
2	ZHANG L, XU X M, FENG W, et al. HFM spread spectrum modulation scheme in shallow water acoustic channels[C]//Proc. of the 2012 OCEANS, 2012.
3	张学森, 孔繁慧, 冯海泓. 用双曲线调频信号实现水声通信的频偏估计和同步[J]. 声学技术, 2010, 29 (2): 210- 213. doi: 10.3969/j.issn.1000-3630.2010.02.020
	ZHANG X S , KONG F H , FENG H H . Frequency offset estimation and synchronization of underwater acoustic communication with hyperbolic frequency modulation signal[J]. Technical Acoustics, 2010, 29 (2): 210- 213. doi: 10.3969/j.issn.1000-3630.2010.02.020
4	JOHNSON M, FREITAG L, STOJANOVIC M. Improved Doppler tracking and correction for underwater acoustic communications[C]// Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997, 1: 575-578.
5	庞玉红, 严琪, 王世闯. 基于瞬时频率的双曲调频信号距离估计误差分析[J]. 声学技术, 2016, 35 (5): 421- 425. doi: 10.16300/j.cnki.1000-3630.2016.05.006
	PANG Y H , YAN Q , WANG S C . Instantaneous-frequency-based ranging bias analysis of HFM waveforms[J]. Technical Acoustics, 2016, 35 (5): 421- 425. doi: 10.16300/j.cnki.1000-3630.2016.05.006
6	VERBEEK X , LEDOUX L , BRANDS P J , et al. Baseband velocity estimation for second-harmonic signals exploiting the invariance of the Doppler equation[J]. IEEE Trans.on Biomedical Engineering, 2002, 45 (10): 1217- 1226.
7	BALLERI A , FARINA A . Ambiguity function and accuracy of the hyperbolic chirp: comparison with the linear chirp[J]. IET Radar Sonar & Navigation, 2017,
8	RIHACZEK A W . Doppler-tolerant signal waveforms[J]. Proceedings of the IEEE, 1966, 54 (6): 849- 857. doi: 10.1109/PROC.1966.4890
9	WANG K X, CHEN S M, LIU C Z, et al. Doppler estimation and timing synchronization of underwater acoustic communication based on hyperbolic frequency modulation signal[C]//Proc. of the IEEE 12th International Conference on Networking, Sensing and Control, 2015: 75-80.
10	HODGKISS W S . Detection of LPM signals with estimation of their velocity and time of arrival[J]. The Journal of the Acoustical Society of America, 1978, 64 (1): 177- 180. doi: 10.1121/1.381982
11	魏润宇. 可靠声路径目标检测与参数估计方法研究[D]. 中国科学院大学, 2021: 79-114.
	WEI R Y. Research on target detection and parameter estimation through reliable acoustic path[D]. Beijing: University of Chinese Academy of Sciences, 2021: 79-114.
12	MOGHADASIAN S S . A fast and accurate method for parameter estimation of multi-component LFM signals[J]. IEEE Signal Processing Letters, 2022, 29, 1719- 1723. doi: 10.1109/LSP.2022.3195118
13	LIU P , SONG C X . SCH: a speed measurement method of combined hyperbolic frequency modulation signals[J]. IEEE Access, 2021, 9, 95986- 95993. doi: 10.1109/ACCESS.2021.3094540
14	MURRAY J J . On the Doppler bias of hyperbolic frequency modulation matched filter time of arrival estimates[J]. IEEE Journal of Oceanic Engineering, 2018, 44 (2): 446- 450.
15	XIN M Y, LI W, WANG X, et al. Preamble design with HFMs for underwater acoustic communications[C]//Proc. of the OCEANS-MTS/IEEE Kobe Techno-Oceans, 2018: 1-5.
16	WANG F Y , DU S P , SUN W , et al. A method of velocity estimation using composite hyperbolic frequency-modulated signals in active sonar[J]. The Journal of the Acoustical Society of America, 2017, 141 (5): 3117- 3122. doi: 10.1121/1.4982724
17	ZHAO S D, YAN S F, XU L J. Doppler estimation based on HFM signal for underwater acoustic time-varying multipath channel[C]// Proc. of the IEEE International Conference on Signal Processing, Communications and Computing, 2019.
18	DENG L L , LENG K J . Application of two spectrum refinement methods in frequency estimation[J]. Journal of Physics: Conference Series, 2022, 2290 (1): 012070. doi: 10.1088/1742-6596/2290/1/012070
19	WEI R Y , MA X C , ZHAO S D , et al. Doppler estimation based on dual-HFM signal and speed spectrum scanning[J]. IEEE Signal Processing Letters, 2020, 27, 1740- 1744. doi: 10.1109/LSP.2020.3020222
20	HERMAND J P , RODERICK W I . Delay-Doppler resolution performance of large time-bandwidth-product linear FM signals in a multipath ocean environment[J]. The Journal of the Acoustical Society of America, 1988, 84 (5): 1709- 1727. doi: 10.1121/1.397186
21	GU T , LIAO G S , LI Y C , et al. Parameter estimate of multi-component LFM signals based on GAPCK[J]. Digital Signal Processing, 2020, 100, 102683. doi: 10.1016/j.dsp.2020.102683
22	YI W , MORELANDE M R , KONG L J , et al. A computationally efficient particle filter for multitarget tracking using an independence approximation[J]. IEEE Trans.on Signal Processing, 2013, 61 (4): 843- 856. doi: 10.1109/TSP.2012.2229999
23	BLANDING W , WILLETT P , BAR-SHALOM Y . ML-PDA: Advances and a new multitarget approach[J]. EURASIP Journal on Advances in Signal Processing, 2008, 2008, 260186.
24	MA M B, TANG J S, ZHONG H P. The pulse compression with Doppler shift in synthetic aperture sonar[C]//Proc. of the 6th International Conference on Systems and Informatics, 2019.
25	LIU P, ZHAO H L, ZHANG B Y, et al. A positive and negative HFM for speed measurement[C]//Proc. of the IEEE 4th International Conference on Electronic Information and Communication Technology, 2021: 352-356.
26	PENG Q Y, LI W J, KONG L J. Multi-frame track-before-detect algorithm for passive sonar system[C]//Proc. of the International Conference on Control, Automation and Information Sciences, 2019.
27	VERMAAK J , GODSILL S J , PEREZ P . Monte Carlo filtering for multi target tracking and data association[J]. IEEE Trans.on Aerospace and Electronic systems, 2005, 41 (1): 309- 332. doi: 10.1109/TAES.2005.1413764
28	RAWAT M , LALL B , SRIRANGARAJAN S . Statistical modeling and performance analysis of cooperative communication in frequency-selective underwater acoustic channel using vector sensor[J]. IEEE Sensors Journal, 2021, 21 (6): 7367- 7379. doi: 10.1109/JSEN.2021.3049287
29	GU Z N , FANG S L . Joint range-Doppler estimation based on multipulse processing of composite hyperbolic frequency modulated waveforms[J]. IEEE Signal Processing Letters, 2022, 29, 558- 562.
30	GÜNEȘ A. Performance comparison of target tracking filters in underwater multipath environments[C]//Proc. of the 29th Signal Processing and Communications Applications Conference, 2021. Electronic Technology

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1	3	0, 1, 3
2	5	0, 1, 3, 5, 7
3	7	0, 1, 3, 5, 7, 9, 11

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[9]	尚进, 赵德华, 位寅生. Pareto最优稀疏频率雷达波形设计[J]. 系统工程与电子技术, 2016, 38(7): 1538-1542.
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复杂水下环境中的Dual-HFM速度谱优化

Dual-HFM speed spectrum optimization in complex underwater environments

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