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Signal blind detection method based on artificial fish swarm algorithm

An artificial fish swarm algorithm, blind detection technology, applied in computing, computing model, transmission monitoring, etc.

Inactive Publication Date: 2013-09-18
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the existing blind detection optimization technology. In order to reduce the bit error rate and improve the convergence, the present invention proposes a signal blind detection method based on the artificial fish swarm algorithm. The method uses The bottom-up design method constructs the basic model of the artificial fish and its behavioral models, and uses this model to solve the quadratic programming performance function of blind signal detection, aiming to provide a low bit error rate and adaptive blind detection method

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  • Signal blind detection method based on artificial fish swarm algorithm
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  • Signal blind detection method based on artificial fish swarm algorithm

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing, a kind of signal blind detection method based on artificial fish swarm algorithm that the present invention proposes is described in detail:

[0044] figure 1 It is the blind detection flowchart of the single-input multiple-output SIMO system based on the artificial fish swarm algorithm of the present invention, and its implementation process is as follows:

[0045] When ignoring noise, the receiver equation for a discrete-time channel is defined as

[0046] x N =SΓ T (1)

[0047] In the formula, X N is the receiving data array, S is the sending signal array, Γ is the q×1-dimensional channel impulse response h jj Constituted block Toeplitz matrix, jj=0,1,...,M; (·) T Represents matrix transposition;

[0048] Among them, the sending signal array:

[0049] S=[s L+M (k),...,s L+M (k+N-1)] T =[s N (k),...,s N (k-M-L)] N×(L+M+1) ,

[0050] M is the channel order, L is the equalizer order, and N is the req...

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Abstract

The invention provides a signal blind detection method based on an artificial fish swarm algorithm. According to the method, a basic model of artificial fishes and a model of each behavior are constructed by adopting a bottom-top design method, the quadratic planning performance function of blind signal detection is solved by using the model, and the influences of each parameter in the artificial fish swarm algorithm, system environment conditions and the like are researched and analyzed according to the flow deduction implementation step of a basic fish swarm optimization algorithm. As indicated by a simulation result, the artificial fish swarm algorithm is a very effective method for application to signal blind detection.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a signal blind detection method based on an artificial fish swarm algorithm. Background technique [0002] For the effects of frequent channel fading, nonlinear time-varying characteristics, and multipath transmission, the blind equalization technology can adaptively equalize the channel characteristics by using the prior knowledge of the received sequence itself without the training sequence, and achieve the best signal optimization. Estimation can effectively compensate the non-ideal characteristics of the channel, overcome inter-symbol interference (ISI), reduce the bit error rate, and improve communication quality. [0003] In the mid-1950s, scholars created bionics and artificial intelligence. People received a lot of inspiration from the mechanism of species evolution and proposed many new methods to solve complex optimization problems. Chinese sc...

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Application Information

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IPC IPC(8): H04B17/00G06N3/00H04B17/391
Inventor 于舒娟张昀王静
Owner NANJING UNIV OF POSTS & TELECOMM
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