Positioning method of network target of wireless sensor based on RSS-AoA hybrid measurement

Abstract

The invention discloses a positioning method of network targets of a wireless sensor based on RSS-AoA hybrid measurement. The method comprises the following steps: establishing a reference coordinatesystem and arranging coordinate positions of a plurality of anchor nodes; establishing measurement models according to a RSS measurement value and an AoA measurement value obtained respectively aftera measurement signal is received by the anchor nodes; performing approximate deformation on the two measurement models; using a polarization identity to convert the approximate deformation expressioncorresponding to the AoA measurement value into a norm form, so as to further obtain an equivalent formula; using weighted least squares to obtain a nonconvex positioning problem according to the approximate deformation expression corresponding to the RSS measurement value, the equivalent formula corresponding to the AoA measurement value, and a introduced weight value; introducing slack variablesand auxiliary variables to obtain a nonconvex constrained optimization problem; using second-order conic relaxation method to obtain a second-order cone programming problem; and using interior pointmethod to solve the second-order cone programming problem, so as to obtain a global optimal solution of a target source. The method of the invention has the advantages that the two kinds of measurement information of the received signal strength and the angle of arrival are fully utilized, and the positioning accuracy is high.

Description

technical field [0001] The invention relates to a target positioning method, in particular to a wireless sensor network target positioning method based on RSS-AoA hybrid measurement. Background technique [0002] Wireless sensor network (WSNs) positioning technology has been widely used in various fields, including data acquisition, pollution monitoring, offshore exploration, disaster prevention, target tracking and assisted navigation, etc. In wireless sensor networks, the basic idea of ​​localization is to determine the position of an unknown target source based on some sensors whose positions are known. Localization in wireless sensor networks typically determines the location of a target source through received noise measurements. Commonly used noise measurement methods are: Time of Arrival (ToA), Time Difference of Arrival (TDoA), Angle of Arrival (AoA) and Received Signal Strength (RSS). These four noise measurement methods have their own advantages and disadvantages...

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Problems solved by technology

Slavisa Tomic et al disclosed 3-DTarget Localization in Wireless Sensor Network Using RSS and AoA Measurements (based on RSS and AoA Measurements in Wireless Sensor Networks) in IEEE Transactions on Vehicular Technology (Institute of Electrical and Electronics Engineers (IEEE) vehicle technology journal). 3D target positioning), which directly adopts the approximate expression of the arrival angle model, and then applies the generalized feasible region subinterval method to achieve positioning. However, it is found through experiments that the positioning accuracy of this method is not ideal enough and needs to be improved.

Slavisa Tomic et al. disclose A closed-form Solution for RSS / AoA Target Localization by Spherical Coordinates Conversion (RSS / AoA target localization based on spherical coordinate transformation) in IEEE Wireless Communications Letters (Institute of Electrical and Electronics Engineers (IEEE) Wireless Communication Letters). A closed-form solution), which converts the norm into a vector form through spherical coordinate transformation, and then uses the weighted least squares method to achieve positioning. However, it is found through experiments that the positioning accuracy of this method is not ideal enough and needs to be improved

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