Maneuvering Target Detection Algorithm Based on Hankel Matrix Decomposition in Over-The-Horizon Radar (OTHR)

doi:10.11999/JEIT170511

Volume 40 Issue 3

Mar. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(3): 541-547

Maneuvering Target Detection Algorithm Based on Hankel Matrix Decomposition in Over-The-Horizon Radar (OTHR)[J]. Journal of Electronics & Information Technology, 2018, 40(3): 541-547. doi: 10.11999/JEIT170511

Citation:

Maneuvering Target Detection Algorithm Based on Hankel Matrix Decomposition in Over-The-Horizon Radar (OTHR)[J]. Journal of Electronics & Information Technology, 2018, 40(3): 541-547. doi: 10.11999/JEIT170511

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Maneuvering Target Detection Algorithm Based on Hankel Matrix Decomposition in Over-The-Horizon Radar (OTHR)

doi: 10.11999/JEIT170511 cstr: 32379.14.JEIT170511

Funds:

The National Natural Science Foundation of China (61671137, 61371184, 61301262), The National Natural Science Foundation of China (Key Program)(61731006), The Sichuan Provincial Department of Science and Technology Project (2017GZ0344)

Received Date: 2017-05-26
Rev Recd Date: 2017-10-26
Publish Date: 2018-03-19

Abstract

Abstract

Maneuvering target detection is one of the focuses in skywave Over-The-Horizon Radar (OTHR). The performance of existing algorithms is good for single maneuvering target in the condition of high SNR. However, the performance for multiple maneuvering targets in low SNR needs to be improved. In this paper, a new maneuvering target detection algorithm is proposed based on Hankel matrix decomposition. The maneuvering target signal is constructed in the form of Hankel matrix. Then the time-frequency estimation of maneuvering target signal is transformed into a convex optimization problem based on linear Principal Component Analysis (PCA) by matrix decomposition, so as to realize the separation of uniform and maneuvering targets, and the simultaneous estimation of multiple targets. The simulation results show that the proposed algorithm has the advantages of high estimation accuracy, low SNR and multiple target detection.
- Over-The-Horizon Radar (OTHR),
- Hankel matrix decomposition,
- Maneuvering target detection

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References(22)

References

HU Qinzhen, SU Hongtao, LIU Ziwei, et al. Target detection algorithm for multistatic radar with registration errors[J]. Journal of Electronics Information Technology, 2017, 39(1): 88-94. doi: 10.11999/JEIT160207.

胡勤振, 苏洪涛, 刘子威, 等. 配准误差下的多基地雷达目标检测算法[J]. 电子与信息学报, 2017, 39(1): 88-94. doi: 10.11999 /JEIT160207.

LU K and LIU X. Enhanced visibility of maneuvering targets for high-frequency over-the-horizon radar[J]. IEEE Transactions on Antennas and Propagation, 2005, 53(1): 404-411.

YASOTHARAN A and THAYAPARAN T. Time-frequency method for detecting an accelerating target in sea clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(4): 1289-1310.

胡进峰, 李万阁, 艾慧, 等. 基于改进时频分析方法的天波雷达机动目标检测算法研究[J]. 电子与信息学报, 2015, 37(8): 1843-1848. doi: 10.11999/JEIT141485.

HU Jinfeng, LI Wange, AI Hui, et al. Maneuvering target detection algorithm based on improved time-frequency analysis method in skywave radar[J]. Journal of Electronics Information Technology, 2015, 37(8): 1843-1848. doi: 10.11999/JEIT141485.

金术玲, 梁彦, 潘泉, 等. 一种天波超视距雷达分级Hough变换航迹起始方法[J]. 电子与信息学报, 2008, 30(8): 1968-1972. doi: 10.3724/SP.J.1146.2006.02033.

JIN Shuling, LIANG Yan, PAN Quan, et al. A two-hierarchy Hough transform based track initiation method for sky-wave Over-the-Horizon radar[J]. Journal of Electronics Information Technology, 2008, 30(8): 1968-1972. doi: 10.3724/SP.J.1146.2006.02033.

CHEN X, GUAN J, LIU N, et al. Maneuvering target detection via radon-fractional Fourier transform-based long-time coherent integration[J]. IEEE Transactions on Signal Processing, 2014, 62(4): 939-953. doi: 10.1109/TSP. 2013.2297682.

LIN B, LIU J, XIE M, et al. Direction-of-arrival tracking via low-rank plus sparse matrix decomposition[J]. IEEE Antennas Wireless Propagation Letters, 2015, 14: 1302-1305.

丁勇, 李楠. 基于高维度特征分析的非局部图像质量评价方法[J]. 电子与信息学报, 2016, 38(9): 2365-2370. doi: 10.11999 /JEIT151430.

DING Yong and LI Nan. Image quality assessment based on non-local high dimensional feature analysis[J]. Journal of Electronics Information Technology, 2016, 38(9): 2365-2370. doi: 10.11999/JEIT151430.

邓云凯, 刘亚东, 行坤, 等. 一种结合时频分析与Dechirp技术提高运动目标参数估计精度的多通道方法[J]. 电子与信息学报, 2011, 33(1): 14-20. doi: 10.3724/SP.J.1146.2010.00153.

DENG Yunkai, LIU Yadong, XING Kun, et al. A high accurate method of estimating moving targets parameters using time-frequency analysis and dechirp technology with multi-channel[J]. Journal of Electronics Information Technology, 2011, 33(1): 14-20. doi: 10.3724/SP.J.1146.2010. 00153.

CAO X, YANG L, and GUO X. Total variation regularized RPCA for irregularly moving object detection under dynamic background[J]. IEEE Transactions on Cybernetics, 2016, 46(4): 1014-1027.

SCEALY J L, CARITAT P D, GRUNSKY E C, et al. Robust principal component analysis for power transformed compositional data[J]. Journal of the American Statistical Association, 2015, 110(509): 136-148.

LI X R and JILKOV V P. Survey of maneuvering target tracking. Part II: Motion models of ballistic and space targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 96-119.

SHEN Y, WEN Z, and ZHANG Y. Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization[J]. Optimization Methods Software, 2014, 29(2): 239-263.

ZHANG L W, GE Y E, and LU Y. An alternating direction method for solving a class of inverse semi-definite quadratic programming problems[J]. Journal of Industrial Management Optimization, 2016, 12(1): 317-336.

GUAN J, CHEN X L, HUANG Y, et al. Adaptive fractional Fourier transform-based detection algorithm for moving target in heavy sea clutter[J]. IET Radar, Sonar Navigation Iet, 2012, 6(5): 389-401.

李彦兵, 张曦文, 李飞, 等. 一种大加速度机动目标微动参数估计方法[J]. 电子与信息学报, 2017, 39(1): 82-87. doi: 10.11999/JEIT160261.

LI Yanbing, ZHANG Xiwen, LI Fei, et al. Estimation of micro-motion feature for large accelerated target[J]. Journal of Electronics Information Technology, 2017, 39(1): 82-87. doi: 10.11999/JEIT160261.

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