Title :
Performance analysis of diverse GLRT detectors in the presence of multipath
Author :
Hayvaci, Harun Taha ; De Maio, Antonio ; Erricolo, Danilo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
Abstract :
The performance of two detection strategies based on two distinct multipath structures of a radar-target environment is presented under the assumption of a zero-mean complex circular Gaussian noise (CWGN) with known power spectral density (PSD) σ2. Neyman Pearson (NP) and Generalized Likelihood Ratio Tests (GLRT) are considered as optimum and sub-optimum receivers, respectively. One strategy, associated with NP1 and GLRT1 receivers, is considered for highly clumped multipath returns in the time-domain, while the other strategy, associated with NP2 and GLRT2 receivers, which are exploiting multipath in the target detection, is taken for entirely resolvable multipath returns in time-domain. The performance comparison is conducted particularly in a transition region, where multipath components are neither entirely resolvable nor highly clumped in time-domain. A qualitative analysis of the improvement in the target probability of detection with multipath exploitation is provided.
Keywords :
Gaussian noise; probability; radar detection; time-domain analysis; GLRT; GLRT1 receiver; GLRT2 receiver; NP1 receiver; NP2 receiver; Neyman Pearson; PSD; distinct multipath structures; diverse GLRT detectors; generalized likelihood ratio test; highly-clumped multipath returns; multipath components; optimum receivers; power spectral density; radar-target environment; suboptimum receivers; target detection probability; time-domain; transition region; zero-mean CWGN; zero-mean complex circular Gaussian noise; Correlation; Detectors; Radar; Random variables; Receivers; Signal to noise ratio;
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-0656-0
DOI :
10.1109/RADAR.2012.6212265