Research On Multidimensional Measurement Fusion Location Method Of Asynchronous Network

In the research of wireless sensor network positioning,node positioning technology is one of the important supporting technologies of wireless sensor networks.At present,the research on the positioning of asynchronous networks mainly focuses on the use of a single time measurement method,and the research content is not deep enough.Time synchronization and positioning have commonality in time characteristics.In this paper,aiming at the positioning problem of asynchronous networks,it is proposed to use asynchronous measurement of time-dependent arrival time(TOA)and non-time-dependent arrival angle(AOA)and signal reception intensity(RSS).Time synchronization and fusion positioning of the network,and a joint joint estimation method of time synchronization and positioning is proposed,which realizes both time synchronization and position estimation.Asynchronous network multi-dimensional measurement fusion positioning methodIn order to compensate or eliminate the positioning defects of single positioning technology,this paper uses multi-dimensional measurement to increase the amount of measurement information,and achieves the fusion positioning of multi-dimensional measurement through the following research.(1)Based on the timing model of node clock drift and deviation in asynchronous network,multi-channel measurement with time correlation(TOA)and non-time correlation(RSS,AOA)is used as input by multi-channel back and forth signal transmission mechanism.The linearization equation is used to establish a multi-dimensional measurement fusion location optimization model.(2)Converting the nonlinear optimization model established by fusion measurement into linear equation,and propose a multi-dimensional fusion measurement joint estimation algorithm for node position coordinate estimation,including unconstrained linear least squares(ULLS)and constrained linear squares(CLLS).Method,the positioning performance analysis is infinitely close to the lower bound of the Carmer-Rao(CRLB).(3)The time synchronization and fusion positioning algorithm of the multi-dimensional measurement is designed,and the experimental algorithm verification and analysis are performed on the simulation software to test the influence of different environmental noises on the positioning accuracy,theoretically analyze the computational complexity of the positioning algorithm,and simulate the running test results.Compared to,the simulation results show that the estimation method of fusion measurement is smaller than the estimation error of single measurement method,and the constrained CLLS method is more accurate.The accuracy of semi-definite programming(SDP)algorithm is higher than that of unconstrained ULLS,but the computational complexity is high.The asynchronous network multi-dimensional measurement fusion localization method proposed in this paper achieves high stability and positioning accuracy.