Passive positioning method for combining RSSI and pattern matching

Abstract

The invention discloses a passive positioning method for combining received signal strength indication (RSSI) and pattern matching, which mainly solves the problem that the conventional passive positioning method has low positioning precision due to the influence of multipath effect in a wireless sensor network. The method comprises the following steps of: (1) gridding network rules, detecting a channel by using single pulse signals, and calculating the fading characteristic value of the channel; (2) selecting 4 reference receivers according to the magnitude of average received signal intensity of each receiver and the relative position; (3) randomly selecting two receivers during positioning, calculating the average received signal intensity difference delta Pr of the two receivers and the fading characteristic differences delta Loss from the grids to the receivers; (4) matching the fading characteristic differences delta Loss of all grids and the opposite number -delta Pr of the average received signal intensity difference; and (5) repeating the steps (3) to (4) for three times, and taking the center of the grid with highest average matching degree as the positioning result. Themethod can still ensure high precision under the influence of the multipath effect, improves the precision of the conventional positioning method, and can be used for passive positioning of the wireless sensor network in an urban environment.

Description

technical field [0001] The invention belongs to the technical field of communication, relates to wireless communication technology, in particular to a passive positioning method in a wireless sensor network, which can be used for passive positioning in an urban environment with obvious multipath effects. Background technique [0002] Wireless sensor network is a brand-new information acquisition platform, which can monitor and collect information of various monitoring objects in the network distribution area in real time, so as to realize complex information detection and target tracking within a specified range. Therefore, location information is very important for sensor networks. Importantly, after detecting an event, the first concern is the location of the event, so the localization mechanism is essential for the wireless sensor network WSN. [0003] If you want to locate the position of the monitoring object, you must first know your own position, so the positioning ma...

AI Technical Summary

Problems solved by technology

TDOA-based positioning technology has high requirements on hardware, and the positioning accuracy is high in the line-of-sight propagation environment. However, due to the influence of multipath effects in the non-line-of-sight propagation environment, the positioning accuracy drops significantly, especially in urban environments. There are many non-line-of-sight transmission environments, and the positioning error of this technology will deteriorate to 5 to 10 times that in the line-of-sight transmission environment, which cannot meet the needs of users

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