대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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- Pages.73-76
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- 2001
CONVERGENCE ACCELERATION OF LMS ALGORITHM USING SUCCESSIVE DATA ORTHOGONALIZATION
- Shin, Hyun-Chool (Division of Electronics and Computer Engineering Pohang University of Science and Technology) ;
- Song, Woo-Jin (Division of Electronics and Computer Engineering Pohang University of Science and Technology)
- 발행 : 2001.09.01
초록
It is well-known that the convergence rate gets worse when an input signal to an adaptive filter is correlated. In this paper we propose a new adaptive filtering algorithm that makes the convergence rate highly improved even for highly correlated input signals. By introducing an orthogonal constraint between successive input signal vectors, we overcome the slow convergence problem caused by the correlated input signal. Simulation results show that the proposed algorithm yields highly improved convergence speed and excellent tracking capability under both time-invariant and time varying environments, while keeping both computation and implementation simple.
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