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Centroid localization method based on maximum likelihood estimation

A technology of maximum likelihood estimation and centroid positioning, which is applied in electrical components, wireless communication, network topology, etc., can solve the problems of low centroid positioning accuracy and dependence on node density, and achieve reduced positioning costs, good network scalability, and high The effect of positioning accuracy

Inactive Publication Date: 2015-09-09
JIANGNAN UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problems of low centroid positioning accuracy and too much dependence on node density, and propose a weighted centroid positioning based on maximum likelihood estimation

Method used

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  • Centroid localization method based on maximum likelihood estimation
  • Centroid localization method based on maximum likelihood estimation
  • Centroid localization method based on maximum likelihood estimation

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Embodiment Construction

[0026] The performance of the algorithm is simulated and analyzed by MATLAB simulation software. In the present invention, 10m×10m, 50m×50m and 100m×100m are respectively used as experimental simulation areas, all nodes in the simulation area are in a static state and the communication between nodes is normal, and the communication radius is 30m; all simulation experiment environments are added to the mean value is zero, and the standard deviation is σ=4 to meet the random noise of Gaussian distribution. The simulation experiments are carried out 500 times, and the final unknown node positioning results are averaged.

[0027] Error Analysis:

[0028] e r r o r = ( x 0 - x ) 2 + ...

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Abstract

The invention relates to a weighted centroid localization algorithm based on maximum likelihood estimation. The invention mainly comprises optimized processing of received signal strength and establishment of a new weight model. The maximum value and the minimum value of the received signal strength are removed and a mean value is calculated at an unknown node. Firstly, the maximum likelihood estimation value between a distance and a practical distance is estimated through calculation and serves as a weight value; then, a parameter k is introduced to adjust the weight between the beacon node number and the unknown node; a new weight model is established; and the weight allocation of anchor nodes around the unknown node is optimized. According to the invention, the received signal strength is processed, errors taken in a range finding model are reduced, the location precision is improved, the new weight model optimizes the weight allocation of the anchor nodes, the location cost is reduced, and the network is enabled to have a good expansion performance.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to a centroid location method based on maximum likelihood estimation. Background technique [0002] Wireless sensor networks (Wireless Sensor Networks, WSN) have many applications in military and civilian fields, including environmental monitoring, website security, medical diagnosis, battlefield surveillance, disaster relief, assisted living, etc. Many applications in life are related to location. The Global Positioning System (GPS) can solve the problem of outdoor tracking and positioning very well, but the shielding effect of buildings on satellite signals limits the application of GPS in indoor positioning. The characteristics of wireless sensor network such as easy deployment, high scalability and low cost make it have great advantages in indoor positioning. Wireless sensor network positioning algorithms can usually be divided into two categories based on rangin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W84/18
CPCH04W64/00H04W84/18
Inventor 卢先领夏文瑞
Owner JIANGNAN UNIV
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