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Signal blind detection method based on double Sigmoid chaotic neural network

A neural network and blind detection technology, applied to the shaping network in the transmitter/receiver, baseband system components, etc., can solve the problem of slow convergence of the energy function.

Active Publication Date: 2014-06-25
NANJING UNIV OF POSTS & TELECOMM INST AT NANJING CO LTD
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Problems solved by technology

However, TCHNN has negative self-coupling, which will lead to slower convergence of the energy function

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  • Signal blind detection method based on double Sigmoid chaotic neural network
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  • Signal blind detection method based on double Sigmoid chaotic neural network

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[0059] Below in conjunction with accompanying drawing, the signal blind detection method based on double Sigmoid chaotic neural network that the present invention proposes is described in detail:

[0060] The blind signal detection method based on double Sigmoid chaotic neural network, its implementation process is as follows:

[0061] When ignoring noise, the receiver equation for a discrete-time channel is defined as

[0062] x N =SΓ T (1)

[0063] In the formula, X N is the receiving data array, S is the sending signal array, Γ is the channel impulse response h jj Constituted block Toeplitz matrix; ( ) T Represents matrix transposition;

[0064] Among them, the sending signal array:

[0065] S=[s L+M (k),...,s L+M (k+N-1)] T =[s N (k),...,s N (k-M-L)] N×(L+M+1) ,

[0066] M is the channel order, L is the equalizer order, and N is the required data length;

[0067] the s L+M (k)=[s(k),…,s(k-L-M)] T ; Among them, s∈{±1}, time k is a natural number;

[006...

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Abstract

The invention provides a signal blind detection method based on a double Sigmoid chaotic neural network. According to the method, by means of the chaotic neural network and a second activation function, the double Sigmoid chaotic neural network is formed, each time iteration is carried out, the chaotic neural network is logged in firstly and then the second activation function is logged in. Due to the fact that the chaotic neural network has the advantage of being capable of avoiding being stuck in the local minimum, blind detection performance is improved, anti-noise performance of the network operation speed is improved, and the method is superior to a traditional Hopfield signal blind detection algorithm.

Description

technical field [0001] The invention belongs to the technical field of wireless communication signal processing and neural network, and in particular relates to a signal blind detection method based on double Sigmoid chaotic neural network. Background technique [0002] The rapid development of data communication and wireless sensor network technology has put forward higher requirements for blind detection of communication signals. The so-called blind detection can detect the transmitted signal only by using the received signal itself, thereby eliminating inter-symbol interference (ISI) to improve the information transmission rate and reliability. [0003] In order to solve the problems caused by genetic, ant colony, immune, particle swarm and other intelligent algorithms that are easy to fall into local minimum and slow convergence, many literatures have begun to use Hopfield neural network to study the problem of blind signal detection. Hopfield neural network (Hopfield N...

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Application Information

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IPC IPC(8): H04L25/03
Inventor 于舒娟张昀宦如松张振洲刘欢胡蓉于大为李瑞翔夏祎
Owner NANJING UNIV OF POSTS & TELECOMM INST AT NANJING CO LTD
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