Precision Enhancement of Wireless Localization System Using Passive DOA Multiple Sensor Network for Moving Target

Abstract

Determining the direction-of-arrival (DOA) of any signal of interest has long been of great interest to the wireless localization research community for military and civilian applications. To efficiently facilitate the deployment of DOA systems, the accuracy of wireless localization is critical. Hence, this paper proposes a novel method to improve the prediction result of a wireless DOA localization system. By considering the signal variation existing in the complex environment, the actual location of the target can be determined including the maximum prediction error. Moreover, the scenario of the moving target is further investigated by incorporating the adaptive Kalman Filter algorithm to obtain the prediction route of the flying drone based on the accuracy assessment method. This proposed adaptive Kalman Filter is a high-efficiency algorithm that can filter out the noise in the multipath area and optimize the predicted data in real-time. The simulation result agrees well with the measured data and thus validates the proposed DOA system with the adaptive Kalman Filter algorithm. The measured DOA of the fixed radiation source obtained by a single base station and the moving route of a flying drone from a two-base station localization system are presented and compared with the calculated results. Results show that the prediction error in an outdoor region of 500 × 500 m2 is about 10–20 m, which demonstrate the usefulness of the proposed wireless DOA system deployment in practical applications.

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

“…In researches [157,[350][351][352][353], full-wave simulations, and in researches [354][355][356][357][358][359], experimental data (for radio or acoustic signals) have been used to evaluate the performance of DOA estimation or localization in pure fields. However, for the mixed-field sources scenario, only a limited real experiment has been performed in an anechoic chamber with microstrip patch antennas with a carrier frequency of 1.26 GHz in [51].…”

Emitter Geolocation from Near-Space Platform Using 3D TDOA

“…The observations are limited by heights in [12], which offers an altitude constrained source localisation utilising Time Difference of Arrival, FDOA, and differential Doppler rate. The methods of joint TDOA and FDOA localization, passive DOA multiple sensor networks for mobile targets, and multiple sources are presented in [13], [14] and [15] respectively. However, they do not take into account receivers mounted on multiplatform devices, which can be stationary or mobile, and the method is computationally intensive.…”