Title | ||
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Performance Analysis of Adaptive Detectors for a Distributed Target Based on Subspace Model. |
Abstract | ||
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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 Li | 1 | 5 | 2.73 |
Huan Wang | 2 | 53 | 21.74 |
Hui Han | 3 | 14 | 7.99 |
Huanyao Dai | 4 | 15 | 6.23 |
Weijian Liu | 5 | 293 | 35.82 |