Imperial College London
Alternate

ProfessorAthanassiosManikas

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Communications and Array Processing
 
 
 
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Contact

 

+44 (0)20 7594 6266a.manikas Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

801Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kamil:2017:10.1109/TAES.2017.2665198,
author = {Kamil, Y and Manikas, A},
doi = {10.1109/TAES.2017.2665198},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
pages = {837--853},
title = {Multisource spatiotemporal tracking using sparse large aperture arrays},
url = {http://dx.doi.org/10.1109/TAES.2017.2665198},
volume = {53},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In this paper, a multisource tracking technique is proposed using a sparse large aperture array of passive sensors of known geometry. First, a novel spherical-spatiotemporal-state-space model is introduced incorporating target ranges, directions, and Doppler effects in conjunction with the array geometry. Subsequently, this array of sensors is integrated with an extended Kalman filter (EKF), defined as the arrayed EKF, to track the trajectory of multiple mobile sources. In addition, a recursive lower bound on the performance of the proposed tracking method is obtained based on the posterior Cramer-Rao bound. Computer simulation studies show that the proposed approach can track the locations of sources, as these move in space, with a very high accuracy.
AU  - Kamil,Y
AU  - Manikas,A
DO  - 10.1109/TAES.2017.2665198
EP  - 853
PY  - 2017///
SN  - 0018-9251
SP  - 837
TI  - Multisource spatiotemporal tracking using sparse large aperture arrays
T2  - IEEE Transactions on Aerospace and Electronic Systems
UR  - http://dx.doi.org/10.1109/TAES.2017.2665198
UR  - https://ieeexplore.ieee.org/document/7849234
UR  - http://hdl.handle.net/10044/1/39734
VL  - 53
ER  -
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