An Incremental Noise Constrained Least Mean Square Algorithm
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Publisher
IEEE
Abstract
This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm.
Keywords
Estimation, Signal to noise ratio, Adaptive algorithms, Cost function, Adaptive systems
Keywords
Citation
Hameed, U., Khawaja, S. G., & Saeed, M. O. B. (2019, September). An incremental noise constrained least mean square algorithm. In 2019 5th International Conference on Frontiers of Signal Processing (ICFSP) (pp. 21-25). IEEE.
