A new CFAR detector with automatic censoring

Author

Xiangwei, Meng ; You, He

Author_Institution

Dept. of Electron. Eng., Naval Aeronaut. Eng. Acad., Yantai City, China

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

1632

Abstract

In this paper a new CFAR detector (MOSTM) based on order statistics (OS), and trimmed mean (TM) is introduced. It takes the mean value of OS and TM local estimations as a noise power estimation to set an adaptive threshold , and it also uses the automatic censoring technique proposed previously (see IEE Proc., Radar Sonar Navig.,vol.141, p.205, 1994). Under Swerling II assumption, the analytic expressions of P_fa, P_d and ADT are derived for the detector. By comparison with other schemes, the results show that the detection performance of MOSTM is improved both in homogeneous background and in nonhomogeneous environment caused by strong interfering targets and clutter edges, while the sample sorting time of MOSTM is less than half of that of OS

Keywords

adaptive radar; estimation theory; radar clutter; radar detection; signal sampling; statistical analysis; CFAR detector; MOSTM; Swerling II assumption; adaptive threshold; automatic censoring; clutter edges; homogeneous background; local estimations; noise power estimation; nonhomogeneous environment; order statistics; radar detection; sample sorting time; strong interfering targets; trimmed mean; Adaptive control; Automatic testing; Background noise; Clutter; Envelope detectors; Noise generators; Noise level; Programmable control; Radar detection; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.571206

Filename

571206