Adaptive Extended Targets Detection Method Based on Wavelet Transform In Gaussian Clutter
In the detection of high range resolution(HRR) radar, the target profile has one or some scattering points distributed in the radial distance. In this paper, in order to improve the detection performance of the HRR radar, a new adaptive extended targets detection method based on wavelet transform in the presence of Gaussian clutter is proposed. First, this paper applies the method of wavelet transform to the target location of the range profile, then it puts forword the generalized likelihood rate test(GLRT) detection method of adaptive energy integration and analyzes the influence of the scattering density of the extended targets. At last, in order to decrease the false alarm probability, after GLRT detection, the method applies the binary integration to the 0/1 signal. The result of simulation proves the efficiency of the adaptive distributed targets detection algorithm.
HRR target detection wavelet transform extended targets Gaussian clutter
Lian Wang Sheng-bo Dong Zheng-guo Shang Sheng Li
Institute of Remote Sensing Equipment, Beijing 100854, China
国际会议
2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)
哈尔滨
英文
453-457
2012-05-27（万方平台首次上网日期，不代表论文的发表时间）