2021
DOI: 10.1049/ell2.12390
|View full text |Cite
|
Sign up to set email alerts
|

Parametric detector for subspace‐based distributed target detection in the presence of signal mismatch

Abstract: In this letter, the authors investigate the problem of subspace-based distributed target detection when signal mismatch arises. To solve the problem, a simple and effective detector is introduced, which is parameterised by a non-negative scalar. By adjusting the scalar, the proposed detector can flexibly change its detection properties for mismatched signals. In particular, the proposed detector with a small scalar is robust to signal mismatch, while the detector with a large scalar is selective. Moreover, the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
(13 reference statements)
0
1
0
Order By: Relevance
“…In the field of array signal processing, most of the parametric detection methods (e.g. the well-known high-resolution subspace-based methods) need a precondition of the number of target signals impinging on the antenna array [1][2][3]. It is generally known that the performance of parameter detection highly depends on the accurate determination of the number of target signals [4].…”
Section: Introductionmentioning
confidence: 99%
“…In the field of array signal processing, most of the parametric detection methods (e.g. the well-known high-resolution subspace-based methods) need a precondition of the number of target signals impinging on the antenna array [1][2][3]. It is generally known that the performance of parameter detection highly depends on the accurate determination of the number of target signals [4].…”
Section: Introductionmentioning
confidence: 99%