Title
Performance Analysis of Adaptive Detectors for a Distributed Target Based on Subspace Model.
Abstract
For the problem of detecting a distributed target using a subspace model, we examine one nonadaptive detector and three adaptive detectors. The nonadaptive detector was proposed under the assumption that the noise covariance matrix is known a priori, i.e., the detector is the asymptotic optimum detector (AOD). We derive the statistical distribution of the AOD, according to which we obtain analytical expressions for the probabilities of detection and false alarm. Many kinds of simulations are carried out, from which useful results are obtained.
Year
DOI
Venue
2018
10.1007/s00034-017-0688-1
CSSP
Keywords
Field
DocType
Multichannel signal detection,Subspace signal,Adaptive signal detection,Distributed target
False alarm,Subspace topology,Expression (mathematics),Computer science,Control theory,A priori and a posteriori,Algorithm,Speech recognition,Covariance matrix,Detector
Journal
Volume
Issue
ISSN
37
6
0278-081X
Citations 
PageRank 
References 
0
0.34
24
Authors
5
Name
Order
Citations
PageRank
Hongli Li152.73
Huan Wang25321.74
Hui Han3147.99
Huanyao Dai4156.23
Weijian Liu529335.82