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

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

860

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279412

Filename

1279412