Detection performance of an adaptive MTD with WVD as a Doppler filter bank

K.M.M. Prabhu, J. Giridhar

Research output: Contribution to journalArticleAcademicpeer-review

2 Downloads (Pure)

Abstract

The Wigner–Ville Distribution (WVD) has been gaining importance in the recent years for the analysis of time varying signals (B. Boashash, in: Simon Haykin (Ed.), Advances in Spectrum Analysis and Array Processing, Prentice-Hall, Englewood Cliffs, NJ, 1991). In this paper, an adaptive moving target detector (AMTD) based on WVD as a Doppler filter bank has been introduced. The proposed AMTD processor has been simulated in the presence of Gaussian and non-Gaussian clutter environments. The preliminary investigations reveal that the proposed processor performs better in terms of probability of detection than the existing moving target detector (MTD) processors.
Original languageEnglish
Pages (from-to)693-698
Number of pages6
JournalSignal Processing
Volume81
Issue number4
DOIs
Publication statusPublished - 2001

Fingerprint

Dive into the research topics of 'Detection performance of an adaptive MTD with WVD as a Doppler filter bank'. Together they form a unique fingerprint.

Cite this