Wireless signal indoor positioning with consideration of non-line-of-sight identification

Abstract

The invention discloses wireless signal indoor positioning giving consideration to non-line-of-sight identification, and a specific positioning method specifically comprises the following steps: S1, in an indoor environment to be positioned, gridding an indoor space environment, deploying an AP, and then calibrating different sampling points and position coordinates of the AP by using a total station, wherein the output end of the training data module and the output end of the test data module are connected with the input end of the first preprocessing module and the input end of the second preprocessing module respectively, and the output end of the first preprocessing module and the output end of the second preprocessing module are connected with the input end of the stack noise reduction encoder module; and the output end of the stack noise reduction encoder module is connected with the input end of the binary classifier module. The invention relates to the technical field of indoor positioning and non-line-of-sight identification WiFi. According to the wireless signal indoor positioning considering the non-line-of-sight identification, the problem of NLOS environment identification based on wifi is solved, a particle filtering fusion strategy combined with the non-line-of-sight identification is provided, and the reliability of a positioning result is improved.

Description

technical field [0001] The invention relates to the technical field of indoor positioning and non-line-of-sight identification WiFi, in particular to a wireless signal indoor positioning that takes into account non-line-of-sight identification. Background technique [0002] Low-cost indoor positioning solutions using wireless signals such as WiFi and Bluetooth have long been researched. Radio signals are easily distorted by the presence of dynamic objects, room temperature, dust, and even humidity. In addition, shadow fading and multipath propagation Seriously hampers the reliability of ranging signal strength. [0003] The current state of the art of radio-based positioning techniques consists of the following four distinct categories: (1) Received Signal Strength Indicator (RSSI); (2) Angle of Arrival (AOA); (3) Time of Arrival (TOA); (4) Physical layer information (PHY), with the exception of the first (1), the above methods all require specialized hardware to obtain dis...

AI Technical Summary

Problems solved by technology

The method based on wireless signal ranging largely depends on the line-of-sight environment, and it is usually difficult to achieve high-precision distance measurement in a non-line-of-sight environment

[0005] Radio fingerprint identification and positioning technology usually needs to build an environmental fingerprint database in advance, collect fingerprint data after gridding the indoor environment, and determine the user's location through matching methods in the online phase. The disadvantage is that the environment changes dynamically, and it cannot be stable and reliable only by fingerprints. high precision positioning

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