Dual Shift Invariant TOA Estimation Algorithm for Multi-Band Signals

This letter proposes a dual shift invariant TOA estimation method for multi-band signals. Although conventional shift invariant TOA estimation methods have been proposed to exploit a single shift invariant structure of the transformed signals, the proposed method is developed to make use of the dual...

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Veröffentlicht in:IEEE communications letters 2012-10, Vol.16 (10), p.1568-1571
Hauptverfasser: OH, Daegun, LI, Ying-Chun, SHOUYIN LIU, YOON, Sang-Hun, CHONG, Jong-Wha
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container_end_page 1571
container_issue 10
container_start_page 1568
container_title IEEE communications letters
container_volume 16
creator OH, Daegun
LI, Ying-Chun
SHOUYIN LIU
YOON, Sang-Hun
CHONG, Jong-Wha
description This letter proposes a dual shift invariant TOA estimation method for multi-band signals. Although conventional shift invariant TOA estimation methods have been proposed to exploit a single shift invariant structure of the transformed signals, the proposed method is developed to make use of the dual shift invariant structure of the transformed multi-band signals. The performance of the proposed method is compared with that of the Cramer-Rao lower bound (CRLB) and conventional algorithms such as MUSIC, matrix pencil, TLS-ESPRIT in additive white Gaussian noise (AWGN) and multipath channel.
doi_str_mv 10.1109/LCOMM.2012.082012.121460
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Although conventional shift invariant TOA estimation methods have been proposed to exploit a single shift invariant structure of the transformed signals, the proposed method is developed to make use of the dual shift invariant structure of the transformed multi-band signals. The performance of the proposed method is compared with that of the Cramer-Rao lower bound (CRLB) and conventional algorithms such as MUSIC, matrix pencil, TLS-ESPRIT in additive white Gaussian noise (AWGN) and multipath channel.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2012.082012.121460</doi><tpages>4</tpages></addata></record>
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subjects Additives
Algorithms
Applied sciences
AWGN
AWGN channels
Channels
Detection, estimation, filtering, equalization, prediction
Estimation
Exact sciences and technology
Frequency estimation
Gaussian
Information, signal and communications theory
Invariants
Lower bounds
Multipath channels
Multiple signal classification
Noise
Pencils
pre-filtering
propagator
Signal and communications theory
Signal, noise
Telecommunications and information theory
Time of arrival estimation
Time-of-arrival
title Dual Shift Invariant TOA Estimation Algorithm for Multi-Band Signals
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