Algebraic distributed source localisation algorithm using TDOA and AOA measurements

The Journal of Engineering

Dexiu Hu¹  Yongsheng Zhao¹  Ke Jin¹  Zhixin Liu¹  Yongjun Zhao¹  Rui Wang¹ 

[1] National Digital Switching System Engineering and Technological Research Centre;

关键词: sensor placement;    time-of-arrival estimation;    direction-of-arrival estimation;    maximum likelihood estimation;    algebraic distributed source localisation algorithm;    AOA measurements;    angle;    arrival measurements;    TDOA equations;    specially distributed structure;    pseudolinear equations;    source position;    source localisation accuracy;   

DOI  :  10.1049/joe.2019.0372

来源: DOAJ

【 摘 要 】

This study proposes an algebraic distributed source localisation algorithm that combines time difference of arrival (TDOA) and angle of arrival (AOA) measurements. The proposed algorithm uses AOAs to remove the unknown parameters in TDOA equations caused by the specially distributed structure. Then, the observation equations are transformed into a set of pseudo-linear equations and apply linear weighted least square to obtain the source position. The application of weighting matrix can lead to an approximate maximum likelihood estimator and produce a substantial improvement in source localisation accuracy. Both theoretical analysis and simulation results indicate the efficiency of the proposed algorithm and its performance can achieve the Cramer–Rao lower bound at a moderate noise level.

【 授权许可】

Unknown