Particle Filtering for Blind Equalization Using the Optical Importance Function

摘要：

A particle filtering equalization algorithm based on the optical particle sampling using the optical importance function is presented. The optical particle sampling using the optical importance function is introduced to alleviate the degeneracy phenomenon so that a re-sampling step is avoided in the method. Moreover, the proposed algorithm shares the optical importance function in J.Miguez’s method, and its simplest form is derived recursively without matrix inverse. Numerical simulations show that the degeneracy phenomenon in the algorithm is alleviated greatly, and the algorithm has perfect BER performance.

关键词： Blind equalization Particle filter Posterior probability Optical importance function Optical particle sampling

作者: Songyin DAI Tao WU Sijie YUAN

作者单位: TT&C Research Center, Academy of Equipment Command & Technology Beijing P. R. China Troop 96275 Luoy TT&C Research Center, Academy of Equipment Command & Technology, Beijing P. R. China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）