Open AccessAttractive passive direct positioning algorithm for localisation of multiple transmitters based on eigenvalue maximizing
Author(s) -
Chen Fangxiang,
Zhou Tao,
Sun Bin,
Kong Lingjiang
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0443
Subject(s) - position (finance) , transmitter , algorithm , computer science , eigenvalues and eigenvectors , signal processing , signal (programming language) , telecommunications , digital signal processing , computer hardware , channel (broadcasting) , physics , finance , quantum mechanics , economics , programming language
In terms of the passive position determination problem, the most commonly used methods are based on two‐step processing. While here, the authors propose a technique that estimates the locations of transmitters by processing the raw signals from all receivers at the central processor, which belongs to the direct position determination (DPD) concept. There are already efforts made on single target localisation through eigenvalue maximising based on the DPD technique. While the multi‐target case encountered more commonly in realistic scenarios. By additionally combined with the image expansion algorithm, the sources can be extracted effectively and their positions are determined simultaneously. Simulation results illustrate that the localisation accuracy for each transmitter is equivalent to the two‐step based approach at high signal‐to‐noise ratio (SNR). While for low SNR, the superiority and accuracy of the proposed method are also manifested.