Locating system and method in light-weight light weight chamber based on channel state information ranging

Abstract

The invention discloses a locating method in a light-weight light weight chamber based on channel state information ranging, and mainly solves the problems that the prior art is not high in location precision, high in computing cost and timeliness cannot be reached. The method comprises the following realizing steps: 1, dividing an indoor scene into a plurality of loop areas, and selecting reference points at different positions of each loop; 2, continuously acquiring and preprocessing M groups of channel state information at all reference position points by using an OFDM (Orthogonal Frequency Division Multiplexing), so as to complete building an annular fingerprint map and a fingerprint database in an indoor scene; 3, respectively acquiring a distance d between a transmitter and mobile equipment and fingerprints on the mobile equipment; 4, carrying out Bhattacharyya coefficient calculation on the fingerprints on the mobile equipment or a loop of which the semi-diameter is closes to the d in the annular fingerprint map or the fingerprints on the adjacent loop, and obtaining the position of the mobile equipment according to Bhattacharyya coefficients. The locating method provided by the invention has the advantages of being low in expenditure, high in locating precision and strong in timelines, thereby being used for mobile intelligent equipment.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a lightweight fingerprint indoor positioning system and method, which can be used for mobile smart devices. Background technique [0002] As mobile smart devices and wireless networks penetrate into all aspects of human production and life, indoor positioning has attracted more and more attention from researchers, and has also spawned many positioning technologies. There are multipath effects in the propagation of wireless signals indoors, and the signals will be reflected, refracted, and even blocked by obstacles, which will have a negative impact on obtaining high-precision positioning results. However, many indoor application scenarios require meter-level or even decimeter-level positioning accuracy, so indoor positioning is full of challenges. [0003] Received Signal Strength Indication (RSSI), as a mainstream scheme, is often used in ranging-based positionin...

AI Technical Summary

Problems solved by technology

When performing fingerprint matching, this method needs to match the channel information of the mobile device with all the channel information stored in the radio wave map, which is expensive.

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