Title :
Adaptive detection for shared-spectrum multistatic radar in Gaussian clutter
Author :
Kong, Lingjiang ; Yang, Mei ; Zhao, Bin
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper addresses the target detecting problem of the shared-spectrum multistatic radar. All of the transmitters emit the same waveforms in the same spectrum in this radar system. By widely separating the platforms of the shared-spectrum radars and adopting the temporal diversity of transmitter-receiver pairs, the spatial diversity is exploited to improve the detection performance. The signal model and the hypothesis test model are presented. A detector based on general likelihood ratio test (GLRT) criterion is derived. Simulation results show the advantages of the derived adaptive detector.
Keywords :
Gaussian processes; adaptive signal detection; radar clutter; radar detection; radar receivers; radar transmitters; Gaussian clutter; adaptive detection; general likelihood ratio test criterion; shared-spectrum multistatic radar; spatial diversity; target detecting problem; temporal diversity; transmitter-receiver pair; Clutter; Covariance matrix; Detectors; Multistatic radar; Radar detection; Vectors;
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-0656-0
DOI :
10.1109/RADAR.2012.6212156