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浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Memoryless polynomial LMS adaptive filter for orbit object tracking (EI CONFERENCE) 会议论文 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China Cai R.; Wu Q.; Wang P.; Wang M.; Wu Y. 收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25 In order to find a fast and effective solution to orbit object tracking  a memoryless polynomial adaptive filter is proposed in this paper. Unlike Volterra adaptive filter  the proposed filter is composed of polynomials in different orders  which can fit normal orbit trajectory well. A memoryless polynomial filter (MLF) is designed first. The designed memoryless polynomial filter can be separated into a linearization filter and a FIR filter. Analogous to linear LMS adaptive filter  a LMS adaptive algorithm is derived for the memoryless polynomial filter  which is called Memoryless polynomial LMS adaptive filter (MLPLMS adaptive filter). Experiments show that the proposed filter has better performance than that of a normal LMS filter on orbit tracking. 2009 IEEE.