Target detection in clutter using receiver with reduced DOF in frequency domain
Document Type
Conference Proceeding
Publication Date
6-1-2020
Abstract
This paper addresses the problem of target detection against a background of clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector under the Neyman-Pearson criterion for general frequency snapshots selection with arbitrary DOF. If the clutter statistics are known/well-estimated, a greedy method for selecting the frequency snapshots is presented. For unknown clutter statistics, we employ a uniform random frequency snapshot selection method and show how the DOF employed affects the detection performance.
Identifier
85092440756 (Scopus)
ISBN
[9781728119465]
Publication Title
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
External Full Text Location
https://doi.org/10.1109/SAM48682.2020.9104318
e-ISSN
2151870X
Volume
2020-June
Grant
61371184
Fund Ref
National Science Foundation
Recommended Citation
Li, Yang; He, Qian; Blum, Rick S.; and Haimovich, Alexander M., "Target detection in clutter using receiver with reduced DOF in frequency domain" (2020). Faculty Publications. 5253.
https://digitalcommons.njit.edu/fac_pubs/5253
