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Virtual multiple input and multiple output system signal blind detection method of wireless sensor network

A wireless sensor network, system signal technology, applied in transmission systems, digital transmission systems, baseband system components and other directions, can solve the problem of lack of Hopfield algorithm research for multi-input multi-output systems

Active Publication Date: 2014-07-09
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Full-feedback Hopfield neural network has been widely used in the blind detection technology of single-input and multiple-output systems due to its good self-organization, self-learning, self-adaptability, high nonlinearity, and ability to process information in parallel. Research on Hopfield Algorithm for Input-Multiple-Output System

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  • Virtual multiple input and multiple output system signal blind detection method of wireless sensor network
  • Virtual multiple input and multiple output system signal blind detection method of wireless sensor network
  • Virtual multiple input and multiple output system signal blind detection method of wireless sensor network

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[0092] Below in conjunction with the accompanying drawings, the wireless sensor network virtual multiple-input multiple-output system signal blind detection method proposed by the present invention is described in detail:

[0093] figure 1 It is a layered structure diagram of the wireless sensor network virtual MIMO system of the present invention.

[0094] Definition 1 When the noise is ignored, the receiving equation of the wireless sensor network virtual MIMO transmission model is defined as follows

[0095] XN=SN·Γ T (1)

[0096] Among them, the virtual MIMO transmission model sensor nodes are divided into p clusters, and the transmission signal array of each cluster head is SN=[sL(k),...,sL(k+N-1)] T =[sn(k),…,sn(k-M-L)] N×(L+M+1)p , M is the channel order, L is the equalizer order, N is the required data length, sL(k)=[s T (k),...,s T (k-L-M)] T ; among them, s T (k)=[s 1 (k)s 2 (k) ... s p (k)], Γ is derived from h jj , jj=0,1,...,p constitutes a block T...

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Abstract

The invention discloses a virtual multiple input and multiple output system signal blind detection method of a wireless sensor network. According to the method, on the basis of the sensor high-density distribution characteristic of the wireless sensor network and clustering processing of the wireless sensor network, a virtual MIMO system blind detection model is constructed, a Hopfield neural network is introduced, a multi-user Hopfield blind detection algorithm is adopted, and blind detection on a cluster head signal between clusters performed by a receiving end of the wireless sensor network is achieved; then, a single-user Hopfield blind detection algorithm is used for bind signal detection on all sensor nodes in the clusters. With the method, blind detection is achieved under the environment of a low signal-to-noise ratio and short data, performance is good, and the high-speed and low-complexity signal blind detection method is provided for the wireless sensor network.

Description

technical field [0001] The invention relates to the field of wireless sensor network signal processing and the field of neural network, in particular to a wireless sensor network virtual multiple-input multiple-output system signal blind detection method. Background technique [0002] The sensor network can enable people to obtain a large amount of detailed and reliable information at any time, place and under any environmental conditions, so it can be widely used in national defense, military, national security, environmental monitoring, traffic management, medical and health, manufacturing, anti-terrorism and disaster relief, etc. field. The main characteristics of sensor networks are: sensor network nodes are limited in terms of power supply energy, communication capabilities, computing power, and storage capacity; the topological structure of sensor networks changes rapidly; data-centric and so on. With the rapid development of high-speed data communication and wireless...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04L1/00G06N3/00
Inventor 张昀于舒娟于大为张振洲宦如松刘欢胡蓉
Owner NANJING UNIV OF POSTS & TELECOMM
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