廣義最小選擇恒虛警算法的性能分析
Performance avalysis of generalized smallest option of CFAR algorithm
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摘要: 為了改善OSSO或GOSSO方法的性能,該文基于加權(quán)線性組合的有序統(tǒng)計量提出了廣義最小選擇(GSO)恒虛警檢測器,文中討論了線性組合有序統(tǒng)計量加權(quán)系數(shù)的選擇與檢測器性能的關(guān)系,在GSO特殊加權(quán)系數(shù)場合,提出了QBWSO、TMSO,CMSO三種性能較為優(yōu)良的檢測器。分析結(jié)果表明,TMSO和QBWSO在均勻背景及多目標環(huán)境中的性能均比OSSO的性能獲得了改善,QBWSO在均勻背景中的性能比TMSO的略強;在均勻背景中,SO的性能最好。
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關(guān)鍵詞:
- 雷達; 檢測; 恒虛警率; 有序統(tǒng)計
Abstract: In order to enhance the performance of OSSO, the Generalized Smallest Op-tion(GSO) of logic CFAR algorithm is proposed in this paper. For this CFAR. algorithms, it splits the reference window into two sub-windows and uses the linear combined order statis-tics to create two local noise power estimations, the smallest of them is used to set an adaptive threshold. How to select the weighted coefficient of the linear combined order statistics in the practical situation, several suggestions are given. In the special cases of GSO, QBWSO, TMSO, CMSO, OSSO and SO methods are deduced. The analytic results show that the detection per-formance of QBWSO and TMSO is superior to that of OSSO both in homogeneous background and in multiple target situation, the CFAR loss of QBWSO is slightly lower than that of TMSO in homogeneous background. In homogeneous background, the detection performance of SO is the best. -
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