GENERALIZED OS CFAR DETECTOR WITH NONCOHERENT INTEGRATION

被引:12
作者
KIM, CJ [1 ]
HAN, DS [1 ]
LEE, HS [1 ]
机构
[1] KOREA ADV INST SCI & TECHNOL,DEPT ELECT ENGN,373-1 KUSONG DONG,YUSONG GU,TAEJON 305701,SOUTH KOREA
关键词
RADAR; CFAR DETECTOR; GENERALIZED ORDER STATISTICS; NONCOHERENT INTEGRATION;
D O I
10.1016/0165-1684(93)90100-O
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Analysis of constant false alarm rate (CFAR) detectors with noncoherent integration has been limited to the cell-averaging (CA) CFAR detector, the maximum mean level detector (MX-MLD) and the order statistics (OS) CFAR detector. Detection performance of the CA CFAR detector thal employs noncoherent integration has been studied by several authors even though the false alarm rate of the CA CFAR detector is sensitive to changes in the background clutter-plus-noise level under nonhomogeneous situations. Shor and Levanon analyzed the detection performance of the OS CFAR detector with noncoherent integration in homogeneous situation, but their formula requires numerical integration. In this paper, we extend the detection analysis to the generalized order statistics (GOS) CFAR detector that employs M-pulse noncoherent integration for general chi-square fluctuating targets in nonhomogeneous environments, which covers various OS and CA CFAR detectors. We obtain unified formulas of the false alarm and the detection probabilities for the GOS CFAR detector in closed form. By properly choosing the coefficients of the GOS CFAR detector, one can realize various kinds of CFAR processors, such as the CA CFAR detector, the OS CFAR detector, the censored mean level detector (CMLD) and the trimmed mean (TM) CFAR detector.
引用
收藏
页码:43 / 56
页数:14
相关论文
共 14 条
[1]  
Blake, OS CFAR theory for multiple targets and non-uniform clutter, IEEE Trans. Aerospace Electron. Systems, 24 AES, pp. 785-790, (1988)
[2]  
Finn, Johnson, Adaptive detection mode with threshold control as a function of spatial sampled clutter level estimated, RCA Rev., 29, pp. 414-464, (1968)
[3]  
Gandhi, Kassam, Analysis of CFAR processors in nonhomogeneous background, IEEE Trans. Aerospace Electron. Systems, 24 AES, pp. 427-445, (1988)
[4]  
Hansen, Sawyers, Detectability loss due to greatest-of-selection in a cell-averaging CFAR, IEEE Trans. Aerospace Electron. Systems, 16 AES, pp. 115-118, (1980)
[5]  
Hou, Morinaga, Namekawa, Direct evaluation of radar detection probabilities, IEEE Trans. Aerospace Electron. Systems, 23 AES, pp. 418-424, (1987)
[6]  
Kanter, Exact detection probability for partially correlated Rayleigh targets, IEEE Transactions on Aerospace and Electronic Systems, 22 AES, pp. 184-196, (1986)
[7]  
Levanon, Radar Principles, (1988)
[8]  
Mitchell, Walker, Recursive methods for computing detection probabilities, IEEE Transactions on Aerospace and Electronic Systems, 7 AES, pp. 671-676, (1971)
[9]  
Rickard, Dillard, Adaptive detection algorithms for multiple target situations, IEEE Trans. Aerospace Electron. Systems, 13 AES, pp. 338-343, (1977)
[10]  
Ritcey, Detection analysis of the MX-MLD with noncoherent integration, IEEE Trans. Aerospace Electron. Systems, 26 AES, pp. 569-576, (1990)