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Complex-Valued Sparse Channel Estimation via Least Mean Fractional Lp-norm Method
An adaptive least mean fractional Lp-norm method for complex-valued channel estimation is put forward in this paper. This method utilizes the fractional Lp-norm of the instantaneous channel estimation error as the cost function to avoid the problem in the L1-norm least mean squares (LMS) penalized m...
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Main Authors: | , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | An adaptive least mean fractional Lp-norm method for complex-valued channel estimation is put forward in this paper. This method utilizes the fractional Lp-norm of the instantaneous channel estimation error as the cost function to avoid the problem in the L1-norm least mean squares (LMS) penalized method that the sub gradient of the L1-norm of complex-valued channel coefficients is not well defined. The mathematical derivation and convergence analysis are carried out. Simulation results show that the proposed complex-valued sparse channel estimation method has faster convergence rate and smaller steady-state error than the complex LMS method. The channel equalizer estimated by the proposed method outperforms the one estimated by the complex LMS method. |
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ISSN: | 2472-7628 |
DOI: | 10.1109/WCSP.2018.8555635 |