Adaptive detection algorithm for radar signals in autoregressive interference

Author

Sheikhi, A. ; Nayebi, M.M. ; Aref, M.R.

Author_Institution

Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran

Volume

145

Issue

5

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

309

Lastpage

314

Abstract

A detector for the case of a radar target with known Doppler and unknown complex amplitude in coloured noise of unknown covariance has been derived. The detector assumes that the noise is an autoregressive process and estimates the unknown parameters by maximum likelihood estimation for the use in the generalised likelihood ratio test. The asymptotic performance of this detector has been derived and it has been shown that for large data records, this detector is CFAR. By computer simulations it has been shown that for a moderate size of data record, the performance of this detector approaches the asymptotic results

Keywords

Doppler effect; adaptive estimation; adaptive signal detection; autoregressive processes; covariance matrices; maximum likelihood estimation; noise; radar detection; radar interference; CFAR detector; Doppler; MLE; adaptive detection algorithm; asymptotic performance; autoregressive interference; autoregressive process; coloured noise; complex amplitude; computer simulations; covariance matrix; generalised likelihood ratio test; large data records; maximum likelihood estimation; radar signals; radar target detector;

fLanguage

English

Journal_Title

Radar, Sonar and Navigation, IEE Proceedings -

Publisher

iet

ISSN

1350-2395

Type

jour

DOI

10.1049/ip-rsn:19982219

Filename

741988