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A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm
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DOI：10.1109/LSP.2018.2864609.png)
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摘要
En 中文
In adaptiveg filters, several recursive algorithms have been used to track state-space model vectors in nonstationary environments. So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to propose an algorithm based on a nonlinear function of the error, motivated by the extended recursive least-squares algorithm. Simulations were performed on the problem of tracking a nonlinear Rayleigh fading multipath channel and on a system identification. The results showed that the proposed algorithm can overcome the extended kernel version ones.
Keyword:
Extended recursive least-squares (EX-RLS) algorithm
nonquadratic function
recursive filter adaptive
tracking performance
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期刊
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9.6
论文数:
1.1W
被引数:
1.7W
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