Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a p-norm-like constraint is utilized to develop a sparse least mean fourth algorithm for sparse channel estimation. By incorporating the p-norm-like constraint into the cost function of conventional least mean fourth (LMF) algorithm, a p-norm-like constraint least mean fourth (PNC-LMF) algorithm is achieved to exploit the sparsity property of the broadband sparse wireless communication channel. The proposed PNC-LMF algorithm aims to seek a tradeoff beten the sparsity effects and the channel estimation errors, which is also verified by the simulation and compared with conventional LMF and previously reported popular sparse LMF algorithms. The simulated results show that the proposed PNC-LMF algorithm has faster convergence speed and lor channel estimation errors when the channel is sparse.
['Yingsong Li', 'Yanyan Wang', 'Tao Jiang']
I am writing a research paper on a idea Sparse channel estimation based on a p-norm-like constrained least mean fourth algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Sparse channel estimation based on a p-norm-like constrained least mean fourth algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a p-norm-like constraint is utilized to develop a sparse least mean fourth algorithm for sparse channel estimation. By incorporating the p-norm-like constraint into the cost function of conventional least mean fourth (LMF) algorithm, a p-norm-like constraint least mean fourth (PNC-LMF) algorithm is achieved to exploit the sparsity property of the broadband sparse wireless communication channel. The proposed PNC-LMF algorithm aims to seek a tradeoff beten the sparsity effects and the channel estimation errors, which is also verified by the simulation and compared with conventional LMF and previously reported popular sparse LMF algorithms. The simulated results show that the proposed PNC-LMF algorithm has faster convergence speed and lor channel estimation errors when the channel is sparse."}]