Title :
A modified quasi-best weighted order statistics CFAR algorithm with greatest of selection
Author :
Xiangwei, Meng ; Jian, Guan ; You, He
Author_Institution :
Dept. of Electron. Eng., Naval Aeronaut. Eng. Inst., Yantai, China
Abstract :
In order to improve the performance of OSGO or GOSGO, a CFAR algorithm based on quasi best weighted (QBW) order statistics CFAR method is proposed in this paper. The analytic results show that the performance of QBWGO is evidently superior to that of OSGO or GOSGO both in a homogeneous background and in multiple target situations. If the number of interfering targets is 4, the CFAR loss of QBWGO is 4.659, the CFAR loss of OSGO is 5.357, and an improvement of nearly 1 dB by QBWGO is obtained. In the special case of M/sub 1/=M/sub 2/=0, N/sub 1/=N/sub 2/=0, QBWGO reduces to GO, and in the case of M/sub 1/=N/sub 1/=0, QBWGO reduces to MX-CMLD.
Keywords :
matched filters; radar detection; radar target recognition; statistical analysis; OSGO; cell-average CFAR detector; generalized OSGO; interfering targets; multiple target situations; quasi-best weighted order statistics; quasi-best weighted order statistics CFAR algorithm; radar target detection; Aerospace engineering; Cities and towns; Clutter; Envelope detectors; Erbium; Helium; Radar detection; Roads; Statistics; Testing;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279412
