Title :
An Adaptive Radar Detection for the Target in Clutter with Unknown Covariance Based on the PPPT
Author :
Cao, Jinkun ; Chen, Gang
Author_Institution :
Technol. Res. Inst., Southwest Electron. & Telecommun., Chengdu, China
Abstract :
In this paper we consider the problem of radar detect a fluctuating target in Gaussian clutter with unknown covariance. To this end we devise the detector based on the prior posterior ratio test (PPPT) criterion. The likelihood ratio is the prior-posterior PDF ratio of amplitude of the echo from the target. For the estimate of the unknown covariance of the clutter, We resort to the Maximum likelihood ration method, which means to minimize the posterior PDF of the amplitude of the echo. The simulation results show that the devised detector has a much better performance compared to the GLRT detector.
Keywords :
Gaussian distribution; adaptive radar; maximum likelihood estimation; object detection; radar clutter; radar detection; radar tracking; target tracking; GLRT detector; Gaussian clutter; adaptive radar detection; fluctuating target; maximum likelihood ration; prior posterior ratio test; prior-posterior PDF ratio; unknown covariance; Clutter; Detectors; Gaussian distribution; Maximum likelihood detection; Maximum likelihood estimation; Radar detection; GLRT; PPPT; target detection; unknown covariance;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
DOI :
10.1109/IHMSC.2010.173