Dual shift invariant TOA estimation algorithm for multi-band signals

Daegun Oh; Ying Chun Li; Shouyin Liu; Sang Hun Yoon; Jong Wha Chong

doi:10.1109/LCOMM.2012.082012.121460

Dual shift invariant TOA estimation algorithm for multi-band signals

Daegun Oh, Ying Chun Li, Shouyin Liu, Sang Hun Yoon, Jong Wha Chong

Division of Intelligent Robot

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Article number	6287519
Pages (from-to)	1568-1571
Number of pages	4
Journal	IEEE Communications Letters
Volume	16
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2012.082012.121460
State	Published - 2012

Bibliographical note

Funding Information:
This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2012-C1090-1200-0010). The IDEC provided research facilities for this study. This work was supported by the IT R&D program of MKE/KEIT. [10035570, Development of self-powered smart sensor node platform for smart&green building.] This research was also supported by the Brain Korea 21 Project in 2012. Digital Object Identifier 10.1109/LCOMM.2012.082012.121460

Keywords

Time-of-arrival
pre-filtering
propagator

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10.1109/LCOMM.2012.082012.121460

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title = "Dual shift invariant TOA estimation algorithm for multi-band signals",

abstract = "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.",

keywords = "Time-of-arrival, pre-filtering, propagator",

author = "Daegun Oh and Li, \{Ying Chun\} and Shouyin Liu and Yoon, \{Sang Hun\} and Chong, \{Jong Wha\}",

note = "Funding Information: This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2012-C1090-1200-0010). The IDEC provided research facilities for this study. This work was supported by the IT R\&D program of MKE/KEIT. [10035570, Development of self-powered smart sensor node platform for smart\&green building.] This research was also supported by the Brain Korea 21 Project in 2012. Digital Object Identifier 10.1109/LCOMM.2012.082012.121460",

year = "2012",

doi = "10.1109/LCOMM.2012.082012.121460",

language = "English",

volume = "16",

pages = "1568--1571",

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AU - Oh, Daegun

AU - Li, Ying Chun

AU - Liu, Shouyin

AU - Yoon, Sang Hun

AU - Chong, Jong Wha

N1 - Funding Information: This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2012-C1090-1200-0010). The IDEC provided research facilities for this study. This work was supported by the IT R&D program of MKE/KEIT. [10035570, Development of self-powered smart sensor node platform for smart&green building.] This research was also supported by the Brain Korea 21 Project in 2012. Digital Object Identifier 10.1109/LCOMM.2012.082012.121460

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Time-of-arrival

KW - pre-filtering

KW - propagator

UR - https://www.scopus.com/pages/publications/84867860374

U2 - 10.1109/LCOMM.2012.082012.121460

DO - 10.1109/LCOMM.2012.082012.121460

M3 - Article

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SN - 1089-7798

VL - 16

SP - 1568

EP - 1571

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 10

M1 - 6287519

ER -

Dual shift invariant TOA estimation algorithm for multi-band signals

Abstract

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Keywords

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