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Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect
Gao J(高洁)1,2; Du JS(杜劲松)1; Wang W(王伟)1,2
作者部门智能检测与装备研究室
关键词Target Detection Radar Systems K-distributed Clutter Heavy-tailed Swerling Target Track-before-detect (Tbd)
发表期刊Sensors (Switzerland)
ISSN1424-8220
2018
卷号18期号:7页码:1-13
收录类别SCI ; EI
EI收录号20183005589626
WOS记录号WOS:000441334300263
产权排序1
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
摘要

This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of dynamic programming based on track-before-detect (DP–TBD) in radar systems. The clutter is modeled in terms of K-distribution, which can be widely used to describe non-Gaussian clutter received from high-resolution radars and radars working at small grazing angles. Swerling type 1 is considered to describe the target fluctuation between scans. Conventional TBD techniques suffer from significant performance loss in heavy-tailed environments due to the more frequent occurrences of target-like outliers. In this paper, we resort to a DP–TBD algorithm based on prior information, which can enhance the detection performance by using the environment and target fluctuating information during the integration process of TBD. Under non-Gaussian background, the expressions of the likelihood ratio merit function for Swerling type 1 targets are derived first. However, the closed-form of the merit function is difficult to obtain. In order to reduce the complexity of evaluating the merit function and the computational load, an efficient approximation method as well as a two-stage detection approach is proposed and used in the integration process. Finally, several numerical simulations of the new strategy and the comparisons are presented to verify that the proposed algorithm can improve the detection performance, especially for fluctuating targets in heavy-tailed clutter.

语种英语
WOS类目Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
关键词[WOS]PARTIALLY HOMOGENEOUS DISTURBANCE ; DYNAMIC-PROGRAMMING SOLUTION ; DIM MOVING TARGETS ; ALGORITHM
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
资助项目National Key Research and Development Program of China[2016YFB0101101] ; National Natural Science Foundation of China[61703393] ; National Natural Science Foundation of China[U1613214]
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/22303
专题智能检测与装备研究室
通讯作者Gao J(高洁)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Gao J,Du JS,Wang W. Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect[J]. Sensors (Switzerland),2018,18(7):1-13.
APA Gao J,Du JS,&Wang W.(2018).Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect.Sensors (Switzerland),18(7),1-13.
MLA Gao J,et al."Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect".Sensors (Switzerland) 18.7(2018):1-13.
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