Joint Source Number Detection And DOA Track Using Particle Filter

摘要：

Current particle filter assumes that the dimension of state is known and constant and it fails when this suppose does not holds. This paper improves on the particle filter using RJMCMC. The improved particle filter can not only preserve the performance on the Non-Linear and Non-Gaussian condition, but also can be used when the dimension of state is unknown or changing over time. This paper uses the improved particle filter in joint direction-of-arrival(DOA) track and source number detection and makes Simulation which shows that the algorithm is effective.

关键词： DOA Track Particle Filter Source Number Detection RJMCMC

作者: Hu de-xiu Zhao yong-jun Li dong-hai

作者单位: Information Technology University, ZhengZhou , 450002, CHINA

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 1666-1669

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）