Title :
A modified robust CFAR detector
Author :
Cong´an Xu ; You He ; Qingqing Yao ; Tao Jian
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
A modified variability index (MVI) CFAR detector is presented. The MVI is a combination of the cell averaging (CA), greatest-of (GO), and modified trimmed mean (MTM). The analytic expression of its threshold multiplier factor TMTM is also derived. Under SwerllingII assumption, the MVI is evaluated and compared with the CA, OS, VI and OSVI (order statistic VI) through Monte-Carlo simulation in various environments. In homogeneous background and clutter edge environment, the MVI keeps the good performance of VI. In multiple targets background, the MVI performs robustly, which is similar to OS. In addition, the MVI shortens the sample sorting time of the OS and the OSVI.
Keywords :
Monte Carlo methods; radar clutter; Monte-Carlo simulation; Swerlling II assumption; cell averaging; clutter edge environment; modified robust CFAR detector; modified trimmed mean; modified variability index; radar detection system; Clutter; Detectors; Estimation; Image edge detection; Monte Carlo methods; Robustness; Sorting; Automatic detection; Constant false alarm rate (CFAR); Nonhomogeneous background; Radar; variability index (VI);
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023129