|Table of Contents|

 Jingwei Yin,Bing Liu,Guangping Zhu,et al.A Space-Time Reverberation Model for Moving Target Detection[J].Journal of Marine Science and Application,2019,(4):522-529.[doi:10.1007/s11804-019-00106-5]
Click and Copy

A Space-Time Reverberation Model for Moving Target Detection


A Space-Time Reverberation Model for Moving Target Detection
Jingwei Yin123 Bing Liu123 Guangping Zhu123 Xiao Han123
Jingwei Yin123 Bing Liu123 Guangping Zhu123 Xiao Han123
1 Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China;
3 Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Ministry of Industry and Information Technology, Harbin 150001, China
Space-time reverberationModel scattering cellEnergy fluctuationMoving target detection
In recent years, moving target detection methods based on low-rank and sparse matrix decomposition have been developed, and they have achieved good results. However,there is not enough interpretation to support the assumption that there is ahigh correlation among the reverberations after each transmitting pulse. In order to explain the correlation of reverberations, a new reverberation model is proposed from the perspective of scattering cells in this paper. The scattering cells are the subarea divided from the detection area. The energy fluctuation of a scattering cell with time and the influence of the neighboring cells are considered. Key parameters of the model were analyzed by numerical analysis, and the applicability of the model was verified by experimental analysis. The results showed that the model can be used for several simulations to evaluate the performance of moving target detection methods.


Candès EJ, Li X, Ma Y, Wright J (2011) Robust principal component analysis. J ACM 58(3):1-37. https://doi.org/10.1145/1970392.1970395
Chandrasekaran V, Sanghavi S, Parrilo PA, Willsky AS (2011) Ranksparsity incoherence for matrix decomposition. SIAM J Optim 21(2):572-596. https://doi.org/10.1137/090761793
Ge FX, Chen Y, Li W (2017) Target detecton and tracking via structured convex optimization. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, pp 426-430
Grigor’ev VA, Kuz’kin VM, Petnikov BG (2004) Low-frequency bottom reverberation in shallow-water ocean regions (article). Acoust Phys 50(1):37-45. https://doi.org/10.1134/1.1640723
Halko N, Martinsson PG, Tropp JA (2011) Finding structure with randomness:probabilistic algorithms for constructing approximate matrix decompositions. SIAM Rev 53(2):217-288. https://doi.org/10.1137/090771806
Harrison CH (2003) Closed-form expressions for ocean reverberation and signal excess with mode stripping and Lambert’s law. J Acoust Soc Am 114(5):2744-2756. https://doi.org/10.1121/1.1618240
Khorshidi S (2014) The principal component inverse algorithm for detection in the presence of reverberation using autoregressive model. Iran J Sci Technol-Trans Electr Eng 38(E1):91-97. https://doi.org/10.22099/IJSTE.2014.2100
Lee DH, Shin JW, Do DW, Choi SM, Kim HN (2017) Robust LFM target detection in wideband sonar systems. IEEE Trans Aerosp Electron Syst 53(5):2399-2412. https://doi.org/10.1109/TAES.2017.2696318
Li W, Subrahmanya N, Xu F (2012) Online subspace and sparse filtering for target tracking in reverberant environment. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop(2):329-332. https://doi.org/10.1109/SAM.2012.6250502
Lingevitch JF, Song HC, Kuperman WA (2002) Time reversed reverberation focusing in a waveguide. J Acoust Soc Am 111(6):2609-2614.https://doi.org/10.1121/1.1479148
Pan X, Li CX, Xu YX, Xu W, Gong XY (2014) Combination of timereversal focusing and nulling for detection of small targets in strong reverberation environments. IET Radar Sonar Navig 8(1):9-16.https://doi.org/10.1049/iet-rsn.2012.0359
Saintval WJ, Hayward TJ (2011) Modulation of a high-frequency shallow-water acoustic channel by sea surface waves:3-D PE-based modeling. OCEANS 2011 IEEE-Spain, Santander, pp 1-6
Shang EC, Gao T, Wu J (2008) A shallow-water reverberation model based on perturbation theory. IEEE J Ocean Eng 33(4):451-461.https://doi.org/10.1109/JOE.2008.2001686
Weichang L, Subrahmanya N, Feng X (2012) Online subspace and sparse filtering for target tracking in reverberant environment. 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop(SAM), Hoboken, pp 329-332
Wu JR, Shang EC, Gao TF (2010) A new energy-flux model of waveguide reverberation based on perturbation theory. J Comput Acoust 18(03):209-225
Yin J, Liu B, Zhu G, Xie Z (2018) Moving target detection using dynamic mode decomposition. Sensors 18(10):3461. https://doi.org/10.3390/s18103461
Yu G, Piao SC (2016) Multiple moving targets detection and parameters estimation in strong reverberation environments. Shock Vib, Article ID 5274371 2016:1-10.https://doi.org/10.1155/2016/5274371
Yu G, Piao SC, Han X (2017) Fractional Fourier transform-based detection and delay time estimation of moving target in strong reverberation environment. Iet Radar Sonar Navig 11(9):1367-1372. https://doi.org/10.1049/iet-rsn.2016.0601
Zhou JX, Zhang XZ (2013) Integrating the energy flux method for reverberation with physics-based seabed scattering models:modeling and inversion.JAcoustSocAm134(1):55-66.https://doi.org/10.1121/1.4807562
Zhou T, Tao D, Wu X (2011) Manifold elastic net:a unified framework for sparse dimension reduction. Data Min Knowl Disc 22(3):340-371
Zhu QY, Li YC, Jiang YL (2012) Line-type moving object detection for sonar images. In:Zhang WJ, Yang XK, Xu ZX, An P, Liu QZ, Lu Y (eds) Advances on digital television and wireless multimedia communications. Springer-Verlag Berlin, Berlin, pp 189-196


Received date:2018-06-26;Accepted date:2019-01-02。
Foundation item:This study was supported by the National Natural Science Foundation of China (Grant Nos. 61631008, 61471137, 50509059, and No.51779061), the Fok Ying-Tong Education Foundation, China (Grant No. 151007), and the Heilongjiang Province Outstanding Youth Science Fund (JC2017017).
Corresponding author:Guangping Zhu,guangpingzhu@hrbeu.edu.cn
Last Update: 2020-02-04