학술논문

Radar Target Detection and Localization Aided by an Active Reconfigurable Intelligent Surface
Document Type
Periodical
Source
IEEE Signal Processing Letters IEEE Signal Process. Lett. Signal Processing Letters, IEEE. 30:903-907 2023
Subject
Signal Processing and Analysis
Computing and Processing
Communication, Networking and Broadcast Technologies
Radar
Receivers
Radar detection
Location awareness
Radio frequency
Object detection
Radar antennas
Detection
generalized likelihood ratio test
localization
radar
reconfigurable intelligent surfaces
Language
ISSN
1070-9908
1558-2361
Abstract
In this letter, we consider a monostatic radar and study the joint detection and localization of a prospective target when the receiver is assisted by a reconfigurable intelligent surface (RIS). To mitigate the multiplicative path loss in the target-RIS-radar hops, we resort to an active RIS, which allows both redirecting and amplifying the incident signal. Upon choosing the array gain factor of the radar transmitter and the RIS to uniformly cover the inspected region, the joint target detection and localization is formulated as a composite hypothesis testing problem, which is solved via a generalized likelihood ratio test (GLRT). Numerical examples are provided to show the merits of the proposed architecture.