Performance Analysis of Bootstrap based Distributed Detector under correlated K-distributed Clutter

摘要：

To deal with the signal detection with multiple sensors under correlated K-distributed clutter with unknown parameter,a bootstrap based distributed detector (BBDD for short) was presented where detection decisions of local sensors are transmitted from each bootstrap detector to the data fusion center,where the overall decision is made based on kout-of-N fusion rule.Considering the assumption that the samples from different range cells are independent,block is extracted along the direction of azimuth.Monte Carlo simulations show that the BBDD has much higher CFAR capability than the distributed generalized sign detector (DGSD for short) with the same fusion rule proposed in the literature.However,under independent k-distributed clutter,BBDD has a signal-to-clutter loss of up to 3 dB compared with DGSD. The BBDD,therefore,is a good choice for signal detection under correlated Kdistributed clutter.

关键词： bootstrap detector distributed detection data fusion dependent k-distributed clutter

作者: Xiangyang Liu Wei Jin Jia Xu Jin Pan Yingning Peng

作者单位: First Department,Xian Communication College,Xian,China,710106 Department of Electronic Engineering,Tsinghua University,Beijing,China,100084

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 556-559

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）