时延多普勒双扩展信道目标回波检测方法

doi:10.12305/j.issn.1001-506X.2026.08.31

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (8): 2859-2871.doi: 10.12305/j.issn.1001-506X.2026.08.31

• 通信与网络 • 上一篇

时延多普勒双扩展信道目标回波检测方法

贾世祺¹^,²(), 薛勐¹^,², 刘明刚¹^,², 许彦伟¹^,², 侯朝焕¹^,²

1. 中国科学院声学研究所，北京 100190
2. 中国科学院大学电子电气与通信工程学院，北京 100049

收稿日期:2025-05-20 修回日期:2025-08-12 出版日期:2025-11-04 发布日期:2025-11-04
通讯作者: 许彦伟 E-mail:jsq2023@163.com
作者简介:贾世祺（2000—），男，硕士研究生，主要研究方向为信号与信息处理、水声信号处理
薛　勐（1999—），男，博士研究生，主要研究方向为信号与信息处理、水声信号处理
刘明刚（1972—），男，研究员，博士，主要研究方向为信号与信息处理、水声信号处理
侯朝焕（1936—），男，中国科学院院士，主要研究方向为信号与信息处理、水声信号处理
基金资助:
国家自然科学基金(61671443，62471463) 资助课题

Detection method for target echoes in time-delay-Doppler doubly spread channels

Shiqi JIA¹^,²(), Meng XUE¹^,², Minggang LIU¹^,², YanWei XU¹^,², Chaohuan HOU¹^,²

1. Institute of Acoustics，Chinese Academy of Sciences，Beijing 100190，China
2. School of Electronic，Electrical and Communication Engineering，University of Chinese Academy of Sciences，Beijing 100049，China

Received:2025-05-20 Revised:2025-08-12 Online:2025-11-04 Published:2025-11-04
Contact: YanWei XU E-mail:jsq2023@163.com

摘要/Abstract

摘要：

针对时延多普勒双扩展目标回波信号检测性能提升问题，提出了分段副本相关积分（segmented replica correlation integration, SRCI）检测方法。通过SRCI，不但聚合了多普勒扩展信道分散目标回波能量，而且累积了时延扩展信道分散目标回波能量，从而提高了时延多普勒双扩展信道目标回波检测性能。基于浅海等梯度、正梯度和负梯度声速剖面声线模型和宽带运动目标回波模型，建立了时延多普勒双扩展目标回波模型；对浅海双扩展目标回波的时延扩展和多普勒扩展特性进行了分析，比较了所提SRCI检测方法和副本相关（replica correlation, RC）、分段RC（segmented RC，SRC）、RC积分（RC integration, RCI）等传统检测方法对时延多普勒双扩展目标回波的检测性能。结果表明，对于运动声呐，当声呐位置一定时，浅海运动目标回波的时延扩展和多普勒扩展大小与声速梯度和目标相对于声呐的位置有关；相比于RCI、SRC和RC检测方法，SRCI检测方法能够提升时延多普勒双扩展目标回波检测性能。

关键词: 浅海运动目标, 双扩展宽带目标回波, 时延多普勒双扩展信道, 分段副本相关积分检测

Abstract:

A segmented replica correlation integration （SRCI） detection method is proposed to improve the detection performance of target echoes in time-delay-Doppler doubly spread channels. The SRCI method not only aggregates the dispersed echo energy in Doppler-spread channels but also accumulates the dispersed echo energy in time-delay-spread channels by SRCI, and improves the detection performance for target echoes in time-delay-Doppler doubly spread channels. A time-delay-Doppler doubly spread target echo model is established based on isogradient, positive gradient, negative gradient sound speed profile ray models and wideband moving target echo models. The time-delay spreading and Doppler spreading characteristics of shallow-water doubly spread target echoes are analyzed. The detection performance of the proposed SRCI detection method is compared with traditional detection method including replica correlation （RC）, segmented RC （SRC）, and RC integration （RCI） for target echoes in time-delay-Doppler doubly spread channels. The results indicate that for this moving sonar, when its position is fixed, the time-delay and Doppler spread magnitudes of shallow-water moving target echoes relate to the sound speed gradient and the target’s position relative to the sonar position. The SRCI detection method can improve the detection performance of target echoes in time-delay-Doppler doubly spread channels compared with RCI, SRC, and RC detection method.

Key words: shallow-water moving target, doubly spread wideband target echoes, time-delay-Doppler doubly spread channel, segmented replica correlation integration （SRCI） detection

中图分类号:

TN 911.7

贾世祺, 薛勐, 刘明刚, 许彦伟, 侯朝焕. 时延多普勒双扩展信道目标回波检测方法[J]. 系统工程与电子技术, 2026, 48(8): 2859-2871.

Shiqi JIA, Meng XUE, Minggang LIU, YanWei XU, Chaohuan HOU. Detection method for target echoes in time-delay-Doppler doubly spread channels[J]. Systems Engineering and Electronics, 2026, 48(8): 2859-2871.

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参考文献 34

1	XU Z Y, WU G X, LI G, et al. Fast coherent integration based on time-frequency reversal decoupling transform for maneuvering target detection[J]. IEEE Trans. on Aerospace and Electronic Systems, 2024, 60 (6): 8805- 8822. doi: 10.1109/TAES.2024.3434783
2	ZHAO Z M, WANG H, CAO L, et al. Doppler-spread target summation variability index CFAR detector for FMCW radar[J]. IEEE Sensors Journal, 2024, 24 (20): 32519- 32532. doi: 10.1109/JSEN.2024.3432179
3	LIU X D, ZHOU Z W, XIAO Z Q, et al. Orthogonal time frequency space with delay-Doppler alignment modulation[C]//Proc. of the IEEE/CIC International Conference on Communications, 2024: 2167−2172.
4	KAPLAN A, POHL V, LEE D G. Data transmission over linear time-varying channels[J]. IEEE Trans. on Signal Processing, 2022, 70, 3357- 3370. doi: 10.1109/TSP.2022.3183352
5	ZHENG T H, HE C B, JING L Y, et al. Delay-doppler domain turbo equalization for single-carrier underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2025, 50 (2): 1500- 1517. doi: 10.1109/JOE.2024.3508027
6	MAKHOUL G, D’ERRICO R, OESTGES C. Delay and Doppler variations in device to device communications with pedestrian mobility[C]//Proc. of the IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, 2020: 1267−1268.
7	RASHID R, ZHANG E J, ABDI A, et al. Theoretical and experimental multi-sensor signal detection in time spreading distortion underwater channels[C]//Proc. of the OCEANS, 2022.
8	杨光, 乔培玥, 梁俊燕, 等. 基于高斯似然的精准水声信道估计[J]. 系统工程与电子技术, 2023, 46 (1): 334- 344.
	YANG G, QIAO P Y, LIANG J Y, et al. Accurate underwater acoustic channel estimation based on Gaussian likelihood[J]. Systems Engineering and Electronics, 2023, 46 (1): 334- 344.
9	FENG Y Q, ZHANG W L, GE Y H, et al. Channel time-variation suppression with optimized receive beamforming for high-mobility OFDM downlink transmissions[J]. IEEE Trans. on Communications, 2022, 70 (2): 1183- 1196. doi: 10.1109/TCOMM.2021.3126729
10	LIU Y J, GUAN Y L, G. D G. A novel dual-rate OTFS system resilient to OFO and Doppler spread[C]//Proc. of the IEEE International Conference on Communications, 2023: 1313−1318.
11	GAO Z Q, DENG X, ZOU X H, et al. System model of OTFS over joint random and deterministic Doppler spread channels[C]//Proc. of the IEEE International Conference on Communications Workshops, 2024: 396−401.
12	QU H Y, LIU G H, ZHANG L, et al. Low-dimensional subspace estimation of continuous-Doppler-spread channel in OTFS systems[J]. IEEE Trans. on Communications, 2021, 69 (7): 4717- 4731. doi: 10.1109/TCOMM.2021.3072744
13	WANG X H, SHI X, WANG J T, et al. On the Doppler squint effect in OTFS systems over doubly-dispersive channels: modeling and evaluation[J]. IEEE Trans. on Wireless Communications, 2023, 22 (12): 8781- 8796. doi: 10.1109/TWC.2023.3265989
14	PFADLER A, SZOLLMANN T, JUNG P, et al. Estimation of doubly-dispersive channels in linearly precoded multicarrier systems using smoothness regularization[J]. IEEE Trans. on Wireless Communications, 2024, 23 (2): 1293- 1307. doi: 10.1109/TWC.2023.3287948
15	LARAWAY S A, FARHANG-BOROUJENY B. Performance analysis of a multicarrier spread spectrum system in doubly dispersive channels with emphasis on HF communications[J]. IEEE Open Journal of the Communications Society, 2020, 1, 462- 476. doi: 10.1109/OJCOMS.2020.2986323
16	ZHANG Y, VENKATESAN R, DOBRE O A, et al. Efficient estimation and prediction for sparse time-varying underwater acoustic channels[J]. IEEE Journal of Oceanic Engineering, 2020, 45 (3): 1112- 1125. doi: 10.1109/JOE.2019.2911446
17	QU F Z, NIE X Y, XU W. A two-stage approach for the estimation of doubly spread acoustic channels[J]. IEEE Journal of Oceanic Engineering, 2015, 40 (1): 131- 143. doi: 10.1109/JOE.2014.2307194
18	ZEGRAR S E, ARSLAN H. A novel delay-Doppler-based channel estimation method in doubly-dispersive OCDM systems[J]. IEEE Wireless Communications Letters, 2024, 13 (3): 801- 804. doi: 10.1109/LWC.2023.3344231
19	LIU S Z, ADIL M, MA L, et al. Densenet-based robust channel estimation in OFDM for improving underwater acoustic communication[J]. IEEE Journal of Oceanic Engineering, 2025, 50 (2): 1518- 1537. doi: 10.1109/JOE.2024.3510929
20	QIN Y, YAN S F, YUAN Z Q, et al. Grid optimization based methods for estimating and tracking doubly spread underwater acoustic channels[C]//Proc. of the OCEANS, 2016.
21	HUANG S H, YANG T C, XU W. Tracking channel variations in a time-varying doubly-spread underwater acoustic channel[C]//Proc. of the OCEANS, 2015.
22	SREEDHAR T V S, MEHTA N B. Refined bounds for inter-carrier interference in OFDM due to time-varying channels and phase noise[J]. IEEE Wireless Communications Letters, 2022, 11 (12): 2522- 2526. doi: 10.1109/LWC.2022.3207322
23	YOGESH V, CHOCKALINGAM A. Near-optimal detection of zak-OTFS signals in doubly-selective channels using mixed gibbs sampling[C]//Proc. of the IEEE Global Communications Conference, 2024: 4926−4931.
24	LU H Q, ZENG Y. Delay alignment modulation: manipulating channel Delay spread for efficient single- and multi-carrier communication[J]. IEEE Trans. on Communications, 2023, 71 (11): 6316- 6331. doi: 10.1109/TCOMM.2023.3306898
25	EBIHARA T, OGASAWARA H, LEUS G. Underwater acoustic communication using multiple-input multiple-output Doppler-resilient orthogonal signal division multiplexing[C]//Proc. of the OCEANS-MTS/IEEE Kobe Techno-Oceans, 2018.
26	XIAO Z Q, ZENG Y, KWAN NG D W, et al. Exploiting double timescales for integrated sensing and communication with Delay-Doppler alignment modulation[C]//Proc. of the IEEE International Conference on Communications, 2023: 5731−5736.
27	RASHID R, ZHANG E J, ABDI A, et al. Multichannel signal detection in time-spreading distortion underwater channels using vector and scalar sensors: theory and experiments[J]. IEEE Journal of Oceanic Engineering, 2024, 49 (4): 1151- 1159. doi: 10.1109/JOE.2024.3424108
28	周晓萌, 侯朝焕, 鄢锦, 等. 基于STFT的水声双扩展畸变信道检测算法[J]. 系统工程与电子技术, 2009, 31 (10): 2506- 2509. doi: 10.3321/j.issn:1001-506X.2009.10.050
	ZHOU X M, HOU C H, YAN J, et al. Approach to signal detection in doubly-spread channels based on STFT[J]. Systems Engineering and Electronics, 2009, 31 (10): 2506- 2509. doi: 10.3321/j.issn:1001-506X.2009.10.050
29	BAGGENSTOSS P M. On detecting linear frequency-modulated waveforms in frequency- and time-dispersive channels: alternatives to segmented replica correlation[J]. IEEE Journal of Oceanic Engineering, 1994, 19 (4): 591- 598. doi: 10.1109/48.338395
30	FRIEDLANDER B, ZEIRA A. Detection of broadband signals in frequency and time dispersive channels[J]. IEEE Trans. on Signal Processing, 1996, 44 (7): 1613- 1622. doi: 10.1109/78.510610
31	LEE D H. , SHIN J W, DO D W, et al. Robust LFM target detection in wideband sonar systems[J]. IEEE Trans. on Aerospace and Electronic Systems, 2017, 53 (5): 2399- 2412. doi: 10.1109/TAES.2017.2696318
32	朱埜. 主动声呐检测信息原理, 下册: 主动声呐信道特性与系统优化原理[M]. 北京: 科学出版社, 2015.
	ZHU Y. Principles of active sonar detecting information, vol 2: channel characteristics and system optimization principles of active sonar[M]. Beijing: Science Press, 2015.
33	STUBER G L. Principles of mobile communication[M]. 4th ed. Switzerland: Springer, 2017.
34	PROAKIS, J G, SALEHI M. Digital communications[M]. 5th ed. New York: McGraw-Hill, 2007.

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时延多普勒双扩展信道目标回波检测方法

Detection method for target echoes in time-delay-Doppler doubly spread channels

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参考文献 34

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梯度类型	目标距离/m	时延扩展/s	RCI匹配积分次数
等梯度	500	0.0301	31
等梯度	1000	0.0163	17
正梯度	500	0.0308	32
正梯度	1000	0.0205	22
负梯度	500	0.0268	28
负梯度	1000	0.0118	13

梯度类型	目标距离/m	多普勒扩展/Hz	SRC匹配分段数
等梯度	500	27	4
等梯度	1000	17	3
正梯度	500	25	4
正梯度	1000	15	2
负梯度	500	28	4
负梯度	1000	18	3