Multi-level signal blind detection method based on discrete unity-feedback neutral network

A neural network, multi-level technology, applied in transmitter/receiver shaping network, electrical components, multi-carrier system, etc.

Inactive Publication Date: 2010-06-02
NANJING UNIV OF POSTS & TELECOMM
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  • Application Information

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Problems solved by technology

[0004] Technical problem: the purpose of this invention is to provide a kind of multi-level signal blind detection method based on discrete full feedback neural network, which solves the problem of optimal solution in the complex number field under the condition of unknown signal, and provides a solution for wireless communication network, especially wireless sensor network. Sink provides an accurate blind detection method for signals

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  • Multi-level signal blind detection method based on discrete unity-feedback neutral network
  • Multi-level signal blind detection method based on discrete unity-feedback neutral network
  • Multi-level signal blind detection method based on discrete unity-feedback neutral network

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Embodiment Construction

[0034] Using the complex discrete multi-level activation function and using an appropriate gain coefficient a, construct a complex discrete Hopfield neural network to realize the blind detection of multi-level multi-ary quadrature amplitude modulation MQAM (Multi-Quadrature Amplitude Modulated) signals. The specific steps are as follows conduct:

[0035] A. The gateway Sink terminal receives the signal transmitted by a single intermediate node and performs oversampling to obtain the receiving equation of the discrete time channel at the gateway Sink terminal

[0036] x N =SΓ H

[0037] In the formula, is the sending signal array,

[0038] the s L+M (k)=[s(k),...,s(k-L-M)] T ;

[0039] s=s R +i·s I is a complex number, the real part s R , imaginary part s I belong to the set A,

[0040] A={±1,±3,…,±d n |d n =1+2(n-1)}, d1 =1, Δd=d j+1 -d j = 2, j ∈ [1, n-1],

[0041] 2n is the level number of the corresponding signal set,

[0042] Γ=Γ L (h j ) is a block To...

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Abstract

The invention discloses a multi-level signal blind detection method based on a discrete unity-feedback neutral network. In the method, an optimized performance function for directly carrying out blind detection on sending signals is established according to a subspace relation between gateway (Sink) node receiving signals and intermediate processing node sending signals of a wireless sensor network to convert the problem of blind detection into the solving to the quadratic programming problem. And a discrete complex multi-level Hopfield neutral network is constructed; a nerve cell surface energy function, an operating equation and a gain coefficient of the complex multi-level Hopfield neutral network are redefined; and the complex multi-level Hopfield neutral network is used as a blind detection algorithm of MQAM signals of the wireless sensor network, and the blind detection algorithm can realize the calculation target with extremely short receive data only, and can be suitable for statistic insignificance occasions. The invention shrinks search space, greatly reduces difficulty, achieves searching time remarkably superior to other blind detection algorithms, and correspondingly improves system performance.

Description

technical field [0001] The invention relates to the field of wireless communication signal processing and the field of neural network, in particular to the multi-level signal blind detection between the intermediate processing node of the wireless sensor network and the receiving end of a gateway (Sink). Background technique [0002] Wireless sensor networks enable multiple devices to collaboratively detect stress and deformation of buildings and bridges, detect event threats, track hostile targets, support unmanned robot vehicles, etc., and have collaborative real-time detection, perception and collection of various environments Or monitor the object information and process it, and send it to the user who needs it. As a special wireless network, the wireless sensor network emphasizes the communication between devices. Because its network nodes use a small battery as a power source, they cannot be charged and replaced, so there are very strict capacity limitations. Reducing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00H04L27/34H04L25/03
Inventor 张志涌张昀阮秀凯
Owner NANJING UNIV OF POSTS & TELECOMM
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