Multiframe Radar Detection of Fluctuating Targets Using Phase Information

被引：92

作者：

Jiang, Haichao ^{[1
]}

Yi, Wei ^{[1
]}

Kirubarajan, Thia ^{[2
]}

Kong, Lingjiang ^{[1
]}

Yang, Xiaobo ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610051, Peoples R China

[2] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 02期

基金：

中国国家自然科学基金;

关键词：

TRACK-BEFORE-DETECT; DYNAMIC-PROGRAMMING ALGORITHM; DIM MOVING TARGETS; EXTENDED TARGETS; CLUTTER; PERFORMANCE; STRATEGIES; SYSTEMS;

D O I：

10.1109/TAES.2017.2664639

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper considers the detection of fluctuating targets via dynamic-programming-based track-before-detect (DP-TBD) in radar systems. Swerling targets of types 0, 1, and 3 are considered. DP-TBD usually integrates either squared amplitude or the logarithm of the envelope likelihood ratio (LELR) scoring functions. Thus, only amplitude information is taken into account regardless of the fact that the measurements are often complex valued. In this paper, the phase information is used in the integration process of DP-TBD to enhance radar detection performance. More precisely, the logarithm of the complex-measurement-based likelihood ratio (LCLR) is used, taking the place of squared amplitude or the LELR. First, we derive the expressions for the LELR and the LCLR for the three Swerling types. Then, to reduce the complexity of computing LELR and LCLR, we also propose efficient but accurate approximations for the LELR and the LCLR. Simulations are used to assess the performance of different DP-TBD strategies.

引用

页码：736 / 749

页数：14

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