Maximum likelihood positioning method based on minimum error propagation and optimization selection

An error propagation and maximum likelihood technology, applied in the field of high-precision distance estimation and wireless positioning technology, can solve the problems of low maximum likelihood positioning accuracy, communication distance estimation error, etc., to achieve the least square positioning, reduce the impact , the effect of high-precision least squares positioning

Inactive Publication Date: 2017-12-08
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of low maximum likelihood positioning accuracy caused by communication distance estimation errors, and provide a maximum likelihood positioning method based on minimum error propagation and optimal selection of bubble sorting method

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  • Maximum likelihood positioning method based on minimum error propagation and optimization selection
  • Maximum likelihood positioning method based on minimum error propagation and optimization selection
  • Maximum likelihood positioning method based on minimum error propagation and optimization selection

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Embodiment Construction

[0029] combine figure 1 To illustrate this embodiment, the maximum likelihood positioning method based on minimum error propagation and optimal selection described in this embodiment includes the following steps:

[0030] Step 1. Deploy I+1 wireless sensor nodes, which are respectively I positioned anchor nodes and 1 unknown node. They all have nanoLOC wireless radio frequency transceivers, and can use the bilateral peer-to-peer method to measure the distance between any two nodes. Distance estimate, wherein, I is a positive integer set by the user, and 5≤I≤12, and I takes a value of 10 in the present invention;

[0031] Step 2. Each node in the system is initialized. The unknown node first establishes a wireless network and waits for other nodes to apply to join the network;

[0032] Step 3, after 1 anchor node is initialized successfully, adopt nanoLOC wireless radio frequency transceiver to scan and discover the wireless network that unknown node establishes respectively, ...

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Abstract

The invention discloses a maximum likelihood positioning method based on minimum error propagation and optimization selection, and relates to a maximum likelihood improved positioning algorithm of anchor node optimization selection. The invention aims to effectively solve the problem of low positioning accuracy caused by an error of the communication distance estimation. In the maximum likelihood positioning method based on the minimum error propagation and the bubble sort optimization selection, a plurality of sample values of distance estimation from an unknown node to various anchor nodes are first obtained by using a method of bilateral peer-to-peer distance estimation, and a statistical analysis is conducted to obtain a statistical mean value and a statistical standard deviation of each distance estimation value; and then a plurality of distance estimation results with the smallest distance estimation statistical mean value and the smallest statistical standard deviation product are obtained by means of bubble sort, and the corresponding anchor nodes are selected to construct maximum likelihood positioning equations, and finally a high-precision positioning result is obtained by using the least squares criterion.

Description

technical field [0001] The invention relates to high-precision distance estimation and wireless positioning technology. Background technique [0002] In the actual wireless positioning environment, due to the influence of adverse factors such as noise, environment and measurement errors, the communication distance estimation has a large error, resulting in low maximum likelihood positioning accuracy. In view of the above problems, the present invention evaluates the product value of the estimated statistical mean and the statistical standard deviation of the communication distance between each anchor node and the unknown node in the anchor node redundant positioning environment, and adopts the method of bubble sorting to optimize and select the maximum likelihood positioning The distance value and anchor node required in the process of constructing the equation system can reduce the influence of the distance estimation error on the positioning result, thereby improving the m...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W64/00
CPCH04W4/021H04W4/023H04W64/00
Inventor 蔚保国罗清华甘兴利王垚焉晓贞崔淼何成龙
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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