Abstract
In order to improve the accuracy and reliability of wireless location in NLOS environment, a wireless location algorithm based on artificial neural network (ANN) is proposed for NLOS positioning error caused by non-line-of-sight (NLOS) propagation, such as occlusion and signal reflection. The mapping relationship between TOA and TDOA measurement data and coordinates is established. The connection weights of neural network are estimated as the state variables of nonlinear dynamic system. The multilayer perceptron network is trained by the real-time neural network training algorithm based on extended Kalman (EKF). Combined with the statistical characteristics of NLOS error, the state component NLOS bias estimation is modified to realize TDOA data reconstruction. Simulation and experimental data analysis show that the algorithm can effectively weaken the influence of NLOS error. The localization method does not depend on the specific NLOS error distribution, nor does it need LOS and NLOS recognition. It can significantly improve the mobile positioning accuracy.
Highlights
With the development of social economy and the deepening of information process, people’s demand for space information is becoming more and more urgent, and the satellite navigation technology is becoming more and more mature [1]
Because the terrestrial digital TV signal has many advantages, such as high transmission power, working in a lower frequency band, and being strictly synchronized with absolute time, the wireless passive positioning technology based on digital broadcasting signal is a positioning technology with good signal coverage and reasonable cost performance, especially strong antiattack ability, which can fill the market gap caused by the inherent deficiency of satellite positioning technology [3, 4]
It can be seen that the RSSI variation can reach 10 DBM in a certain grid, so the accuracy and stability of positioning cannot be guaranteed by using the civilian SSI as the only characteristic parameter of the grid
Summary
With the development of social economy and the deepening of information process, people’s demand for space information is becoming more and more urgent, and the satellite navigation technology is becoming more and more mature [1]. Rough analysis of the characteristics of digital broadcasting signal, propagation characteristics, and the principle and method of wireless passive positioning system, this paper focuses on the research of high-resolution multipath time delay estimation and Doppler/micro-Doppler parameter estimation algorithm based on digital broadcasting signal, information fusion filtering method for mobile station real-time positioning and tracking using time delay and Doppler measurement information, and digital broadcasting single frequency network (SIN) Clustering analysis, data association, and fusion tracking algorithm of multisource data in the case of gel frequency network (SFN). E subsequent linear line of position algorithm further eliminates the additive NLOS error by calculating the difference of the square of the distance It directly uses the linear statistical positioning technology instead of linearizing the system and reduces the calculation amount of the target position, so it has certain advantages
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