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Weighted centroid positioning algorithm based on RSSI ranging

A technology of weighted centroid and positioning algorithm, which is applied to services based on location information, services based on specific environments, and positioning. It can solve problems such as ranging errors and inaccurate positioning coordinates, and achieve the effect of improving accuracy and positioning accuracy.

Inactive Publication Date: 2019-08-23
南通云之建智能科技有限公司
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Problems solved by technology

[0005] At present, compared with the other three positioning technologies, the RSSI-based positioning method has the advantages of no need to add additional hardware devices, low power consumption, and low cost. However, in the actual indoor environment, it will be affected by signal reflection, multipath propagation, and antenna gain. , obstacles and other factors make the calculated positioning coordinates inaccurate when the ranging error is large

Method used

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  • Weighted centroid positioning algorithm based on RSSI ranging
  • Weighted centroid positioning algorithm based on RSSI ranging
  • Weighted centroid positioning algorithm based on RSSI ranging

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Embodiment Construction

[0027] Embodiments of the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and therefore are only examples, rather than limiting the protection scope of the present invention.

[0028] A weighted centroid positioning algorithm based on RSSI ranging disclosed by the present invention is implemented based on a positioning system. The positioning system includes a server, a base station, a plurality of reference sub-stations and tags to be tested. Calculate the distance between the stations and send it to the server. The server calculates the coordinate value of the label to be tested according to the weighted centroid positioning algorithm combined with the coordinate value of the reference sub-station, such as Figure 1~2 As shown, the specific steps are:

[0029] a. The distance value d b...

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Abstract

The invention mainly provides a weighted centroid positioning algorithm based on RSSI ranging. The method comprises the following steps: firstly, sorting distance values between labels to be tested and reference substations, extracting three reference substations with minimum distances, establishing a weighted centroid model, calculating coordinate values of three intersection points according tothe weighted centroid model, and then calculating the coordinate values of the labels to be tested by using a weighted centroid algorithm. According to the weighted centroid positioning algorithm based on RSSI ranging disclosed by the invention, the accuracy of coordinate operation is improved through data selection and weighted value introduction under the condition that the early ranging error is large.

Description

[0001] Technical field: [0002] The invention relates to the field of indoor positioning, in particular to a weighted centroid positioning algorithm based on RSSI distance measurement. [0003] Background technique: [0004] Indoor wireless positioning refers to the service of using wireless network and positioning terminal to provide relevant information such as the position, speed and direction of the node to be measured. For a positioning algorithm, the performance criteria for evaluating it include positioning accuracy, node density, fault tolerance and adaptability, power consumption, cost, etc. At present, there are many types of wireless network positioning methods, among which there are roughly four types of distance-based positioning technologies: time-of-transition (TOA), time-difference-of-transition (TDOA), angle-of-arrival (AOA) and received signal strength indication ( RSSI). [0005] At present, compared with the other three positioning technologies, the RSSI-...

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Application Information

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IPC IPC(8): H04W4/02H04W64/00G01S5/02
CPCG01S5/02H04W4/023H04W4/33H04W64/00
Inventor 阚伟伟吴明明贾四和沈岳
Owner 南通云之建智能科技有限公司
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