Presentation 1999/7/22
Implementation of pipelined RLS adaptive filters with O(N) computational complexity
Kiyoshi NISHIKAWA, Hitoshi KIYA,
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Abstract(in English) In this paper, we propose a method to implement the pipelined Kalman (PIPKAL) adaptive algorithm, which is used for pipelined implementation of the RLS adaptive filters, with the amount of calculation of O(N), where N is the number of the taps of adaptive filter. In order to derive the proposed method, we first describe that the PIPKAL has redundancy in its computation. Then we propose a method that can be realized with 1/M calculation, where M is the pipeline stage, compared with that of the PIPKAL by removing its redundancy. Implementation of the proposed algorithm is also considered. In that, the amount of required computation and hardware are determined by M, although the selection of its value has not been considered. In this paper, we propose the amount of M under which the required amount of computation becomes almost same as that of the pipelined LMS algorithms. As a result, we can implement the proposed method with O(N) calculations.
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Keyword(in English) adaptive signal processing / pipeline implementation / RLS algorithm
Paper # CS99-75
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Conference Information
Committee CS
Conference Date 1999/7/22(1days)
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Registration To Communication Systems (CS)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Implementation of pipelined RLS adaptive filters with O(N) computational complexity
Sub Title (in English)
Keyword(1) adaptive signal processing
Keyword(2) pipeline implementation
Keyword(3) RLS algorithm
1st Author's Name Kiyoshi NISHIKAWA
1st Author's Affiliation Dept. of Electronics Eng., Tokyo Metropolitan Univ.()
2nd Author's Name Hitoshi KIYA
2nd Author's Affiliation Dept. of Electronics Eng., Tokyo Metropolitan Univ.
Date 1999/7/22
Paper # CS99-75
Volume (vol) vol.99
Number (no) 200
Page pp.pp.-
#Pages 6
Date of Issue