Improved ESPRIT Algorithm Based DOA Estimation for Multi-target Tracking

DOI

10.2991/cnct-16.2017.71How to use a DOI?

Keywords

Multi-target Tracking, DOA Estimation, Improved ESPRIT Algorithm, Signal-to-Noise Ratio, Sub-array Pitch, MUSIC Algorithm

Abstract

ESPRIT algorithm is one of the main algorithms for DOA estimation, which is a basic problem in multi-target tracking. This paper proposes an improved ESPRIT algorithm for multi-target tracking, and takes simulation analysis of the performance of DOA estimation of the SNR and sub-array spacing, then compares the improved ESPRIT algorithm with the MUSIC algorithm. The simulation results show that the estimation error is larger when the SNR is low and the sub-array spacing is small and the estimation error of the improved algorithm is slightly larger than that of the MUSIC algorithm, but the running time is much smaller than the MUSIC algorithm. The research of this paper can provide theoretical support for the follow-up study.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liu-yang GAO
AU  - Song CHEN
AU  - Zhi-min WANG
PY  - 2016/12
DA  - 2016/12
TI  - Improved ESPRIT Algorithm Based DOA Estimation for Multi-target Tracking
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 510
EP  - 517
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.71
DO  - 10.2991/cnct-16.2017.71
ID  - GAO2016/12
ER  -