Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Clutter covariance matrix estimation using weight vectors in knowledge-aided STAP

Authors
Jeon, H.Chung, Y.Chung, W.Kim, J.Yang, H.
Issue Date
13-4월-2017
Publisher
INST ENGINEERING TECHNOLOGY-IET
Keywords
space-time adaptive processing; radar clutter; radar signal processing; covariance matrices; estimation theory; numerical analysis; target detection; bistatic radar; numerical simulation; clutter-to-noise ratio; nonstationary clutter suppression; heterogeneous clutter suppression; knowledge-aided space-time adaptive processing; knowledge-aided STAP; weight vectors; clutter covariance matrix estimation
Citation
ELECTRONICS LETTERS, v.53, no.8
Indexed
SCIE
SCOPUS
Journal Title
ELECTRONICS LETTERS
Volume
53
Number
8
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/83763
DOI
10.1049/el.2016.4631
ISSN
0013-5194
Abstract
A knowledge-aided space-time adaptive processing (STAP) is a quite useful technique to suppress non-stationary and heterogeneous clutter. It estimates a covariance matrix by combining a conventional covariance matrix based on secondary data with a synthesised one by prior information. A new combining method is presented, where weight vectors, rather than constant weights, are used to combine two covariance matrices. In this method, the weight vectors are derived in a way to maximise clutter-to-noise ratio of the combined covariance matrix. A numerical simulation is conducted for a bistatic radar scenario where clutter non-stationarity and heterogeneity can be assumed and the performance of the proposed method is demonstrated in terms of clutter suppression and target detection.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chung, Won zoo photo

Chung, Won zoo
인공지능학과
Read more

Altmetrics

Total Views & Downloads

BROWSE