The iterative identification method for Hammerstein nonlinear channel

This paper is concerned with the iteration identification algorithm for Hammerstein model with complex-valued input for the fact that the existing algorithms are not valid for complex input. Based on the stochastic gradient algorithm, the extended stochastic gradient algorithm is proposed by definin...

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Vydáno v:10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014) s. 67 - 72
Hlavní autoři: Su, Rui, Wang, Bin, Liu, Shigang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Stevenage, UK IET 2014
The Institution of Engineering & Technology
Témata:
Communication channel equalisation and identification
Interpolation and function approximation (numerical analysis)
Other topics in statistics
Radio links and equipment
iterative methods
extended hierarchical multiinnovation stochastic gradient algorithm
identification
iterative identification method
cost function
wireless channels
stochastic processes
complex-valued input
gradient methods
Hammerstein nonlinear channel
multiinnovation identification theory
computational complexity
ISBN:1849198454, 9781849198455
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Abstract This paper is concerned with the iteration identification algorithm for Hammerstein model with complex-valued input for the fact that the existing algorithms are not valid for complex input. Based on the stochastic gradient algorithm, the extended stochastic gradient algorithm is proposed by defining new cost function for complex input. The extended hierarchical multi-innovation stochastic gradient algorithm is proposed by introducing multi-innovation identification theory and hierarchical principle to the extended stochastic gradient algorithm. Experimental simulations show that the extended hierarchical multi-innovation stochastic gradient algorithm has better performance than the extended stochastic gradient algorithm at the expense of computational complexity.
AbstractList This paper is concerned with the iteration identification algorithm for Hammerstein model with complex-valued input for the fact that the existing algorithms are not valid for complex input. Based on the stochastic gradient algorithm, the extended stochastic gradient algorithm is proposed by defining new cost function for complex input. The extended hierarchical multi-innovation stochastic gradient algorithm is proposed by introducing multi-innovation identification theory and hierarchical principle to the extended stochastic gradient algorithm. Experimental simulations show that the extended hierarchical multi-innovation stochastic gradient algorithm has better performance than the extended stochastic gradient algorithm at the expense of computational complexity.
Author Bin Wang
Shigang Liu
Rui Su
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Keywords iterative methods
extended hierarchical multiinnovation stochastic gradient algorithm
identification
iterative identification method
cost function
wireless channels
stochastic processes
complex-valued input
gradient methods
Hammerstein nonlinear channel
multiinnovation identification theory
computational complexity
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Snippet This paper is concerned with the iteration identification algorithm for Hammerstein model with complex-valued input for the fact that the existing algorithms...
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SubjectTerms Communication channel equalisation and identification
Interpolation and function approximation (numerical analysis)
Other topics in statistics
Radio links and equipment
Title The iterative identification method for Hammerstein nonlinear channel
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