Data Registration of Radars based on RBUKF and Performance Analysis

摘要：

This paper mainly discussed the problem of data registration algorithm of radars and the biased estimation with UKF(Unscented Kalman Filter).For the effiency of UKF,the Rao-Blackwellised way is utilized for that registration model includes both linear and nonlinear parts.The RBUKF (Rao-Blackwellised Unscented Kalman Filter)is discussed with reduced Unscented Transform and tractable scheme in detail. Then A suitable RBUKF registration algorithm is developed and the theoretical Cramer-Rao lower bound(CRLB)of estimation error are discussed.Theoretical analysis of mean square error(MSE)are implement to evaluate performance of algorithm based on CRLB.Simulation shows RBUKF registration algorithm works efficiently and closely reach the CRLB.

作者: Dayong Zhang Wenqi Wu Meiping Wu Xiaoping Hu

作者单位: College of Mechatronics Engineering and automation National University of Defense Technology Changsha,Hunan Province,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1285-1289

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）