Receiver Design with Reduced DOF in Frequency Domain for Target Detection under Gaussian Clutter

Document Type

Article

Publication Date

1-1-2021

Abstract

This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot selection method and show how the DOF employed affects the detection performance. When the clutter return follows a stationary Gaussian distribution with slowly varying power spectral density, the optimal selection is derived. When the clutter is composed of reflected versions of the transmitted waveforms, a greedy-based method for selecting the frequency snapshots is presented. Numerical experiments show that a receiver with reduced DOF can lead to detection performance which is very close to that of the receiver with full DOF.

Identifier

85107228602 (Scopus)

Publication Title

IEEE Transactions on Signal Processing

External Full Text Location

https://doi.org/10.1109/TSP.2021.3082463

e-ISSN

19410476

ISSN

1053587X

First Page

3315

Last Page

3324

Volume

69

Grant

2020D004

Fund Ref

Huo Yingdong Education Foundation

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