空时多普勒频移域运动小目标的抗干扰探测方法

孙大军; 侯开阳; 滕婷婷; 梅继丹; 刘慧敏; 李业城

doi:10.15949/j.cnki.0371-0025.2022.02.006

空时多普勒频移域运动小目标的抗干扰探测方法

doi: 10.15949/j.cnki.0371-0025.2022.02.006

孙大军^1,2,3,
侯开阳^1,2,3,
滕婷婷^1,2,3, ,,
梅继丹^1,2,3,
刘慧敏⁴,
李业城⁵

1. 哈尔滨工程大学水声技术重点实验室哈尔滨 150001;
2. 工业和信息化部海洋信息获取与安全工信部重点实验室(哈尔滨工程大学) 哈尔滨 150001;
3. 哈尔滨工程大学水声工程学院哈尔滨 150001;
4. 华东电子工程研究所合肥 230088;
5. 中国电子科技集团第五十四研究所石家庄 050081

基金项目:

国家自然科学基金项目(61871145)资助

详细信息

通讯作者:
滕婷婷,E-mail:tengtingting@hrbeu.edu.cn

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- 文章访问数: 230
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- 被引次数: 0
出版历程
- 收稿日期: 2021-07-23
- 修回日期: 2021-12-02
- 网络出版日期: 2022-06-29
- 刊出日期: 2022-03-15

Small moving target interference suppression detection method in space-time Doppler frequency shift domain

SUN Dajun^1,2,3,
HOU Kaiyang^1,2,3,
TENG Tingting^{1,2,3
, ,},
MEI Jidan^1,2,3,
LIU Huimin⁴,
LI Yecheng⁵

1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001;
2. Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001;
3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001;
4. East China Research Institute of Electronic Engineering, Hefei 230088;
5. The 54^th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081

摘要

摘要: 有源声呐使用多普勒敏感信号可在多普勒频移域分离杂波、混响等干扰和运动目标,但低信干比时强干扰的时间旁瓣泄露和多普勒旁瓣泄露会淹没弱目标。针对该问题,提出了一种基于自适应最小均方(LMS)算法和宽带模糊函数(WAF)的运动小目标抗干扰探测方法。首先在空间多普勒频移域上利用基于LMS的自适应陷波器抑制干扰,然后在快时间多普勒频移域上利用WAF探测小目标。给出了理论推导和仿真分析,进行了水池试验。结果表明,该方法可有效抑制强干扰并能准确估计小目标的时延及多普勒频移,在水池试验中约有13 dB的干扰抑制能力。此外,该方法能够容忍归一化幅度起伏方差小于0.5的干扰起伏,提高了有源声呐对运动小目标的探测能力。
- 有源声呐探测 /
- 干扰抑制 /
- 空时多普勒频移域 /
- 最小均方算法 /
- 宽带模糊函数
Abstract: Active sonar can separate clutter,reverberation and moving targets in the Doppler frequency shift domain by using Doppler sensitive signals,but time leakage and Doppler leakage of strong interference will overwhelm weak targets at low signal-to-interference ratio.Therefore,a small moving target interference suppression detection method based on adaptive Least Mean Square(LMS)algorithm and Wideband Ambiguity Function(WAF)is proposed.Firstly,the adaptive notch filter based on LMS is used to suppress interference in the spatial Doppler frequency shift domain,and then WAF is used to detect targets in the fast-time Doppler frequency shift domain.Numerical simulation and pool experiment are carried out.Simulation results demonstrate that the proposed method can effectively suppress strong interference,and accurately estimate the target delay and Doppler frequency shift.It can obtain about 13 dB interference suppression ability in the experiment.Moreover,it can tolerate interference fluctuation with normalized amplitude fluctuation variance less than 0.5,and improves the active detection ability to small moving targets.
- Active sonar detection /
- Interference suppression /
- Space-time Doppler frequency shift domain /
- Least mean square algorithm /
- Wideband ambiguity function