TOA Estimation Based on Forward and Backward Smoothing MUSIC in Frequency Domain

DOI

10.2991/amcce-15.2015.415How to use a DOI?

Keywords

smoothing; MUSIC; TOA

Abstract

Under the condition of single snapshot, multiple signal classification (MUSIC) time of arrival (TOA) estimation algorithm improves its performance by forward and backward smoothing in frequency domain. Its ability to distinguish multipath is strong. However, this method is introduced from smoothing in spatial smoothing. And the derivation and the performance analysis are not given. For this problem, the derivation and performance analysis of MUSIC TOA estimation based on forward and backward smoothing in frequency domain is introduced in this paper. The full-rank conditions of autocorrelation matrix of multipath component fading coefficient are deduced. At the same time, estimation precision of noise subspace is higher after data is pre-processed by forward and backward smoothing. Simulation results show that the algorithm has better ability to distinguish multipath under situations of single snapshot. The algorithm has strong robustness and its performance is better than MUSIC TOA estimation algorithm of forward smoothing in frequency domain.

Copyright

© 2015, 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  - Bin Ba
AU  - Yun Long Wang
AU  - Na E Zheng
AU  - Han Ying Hu
PY  - 2015/04
DA  - 2015/04
TI  - TOA Estimation Based on Forward and Backward Smoothing MUSIC in Frequency Domain
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 928
EP  - 933
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.415
DO  - 10.2991/amcce-15.2015.415
ID  - Ba2015/04
ER  -