Title :
Adaptive radar detection for targets in compound-Gaussian clutter with inverse-gamma texture
Author :
Yi-nan Zhao ; Xiao-yu Pang ; Bin Yin
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
This paper deals with the problem of detecting a weak target in compound-Gaussian clutter with inverse gamma texture. An adaptive detector based on two-step generalized likelihood ratio test (GLRT) criterion is presented against this heavy-tailed clutter. The simulation results confirm the effectiveness of the proposed detector.
Keywords :
image texture; object detection; radar imaging; GLRT criterion; adaptive radar detection; compound-Gaussian clutter; heavy-tailed clutter; inverse gamma texture; two-step generalized likelihood ratio test criterion; weak target detection; Adaptive detection; Compound-Gaussian; Inverse gamma Texture; Sea clutter;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0249
