Target positioning method for wireless signal transmission parameter estimation in non-line-of-sight environment

Abstract

The invention discloses a target positioning method for wireless signal transmission parameter estimation in a non-line-of-sight environment. The target positioning method mainly solves the problem that signal transmission parameters are unknown in target positioning of a wireless sensor network in the non-line-of-sight environment. Comprising the steps that the position of a signal source is preliminarily determined through an arrival time measurement model in a non-line-of-sight environment, and the position and a received signal strength measurement model are combined to determine a transmission path loss coefficient of a wireless signal; inputting the path loss coefficient and the signal source position into a received signal strength measurement model to obtain a wireless signal transmitting power estimation value; and according to the determined wireless signal transmitting power and the path loss coefficient, a received signal strength measurement model is re-established, an objective function is constructed in combination with an arrival time measurement model, and a bisection method is adopted to determine the position of a signal source. According to the method, time domain combined target positioning can be realized by extracting energy domain measurement information under the condition that wireless signal transmission parameters are unknown, and the robustness of target positioning in a non-line-of-sight environment is effectively ensured.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a positioning method in wireless communication, in particular to a target positioning method for the estimation of wireless signal transmission parameters in a non-line-of-sight environment, which can be used for an unknown wireless signal transmission path loss model in a non-line-of-sight environment Sensor network object localization in the case. Background technique [0002] In recent years, with the rapid development of sensor networks and Internet of Things technologies, the demand for location services for various smart devices and high-tech applications has grown at an unexpected rate. Due to the increasingly complex electromagnetic environment, the non-line-of-sight propagation of wireless signals is an important factor affecting the positioning accuracy. Usually, multi-domain information fusion methods are used to improve the positioning accuracy. Among the...

AI Technical Summary

Problems solved by technology

This method has high computational complexity and only considers the positioning performance in an ideal environment. In the non-line-of-sight environment where the wireless signal transmission path loss model is unknown, the positioning accuracy decreases or even fails.

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