Modified CRLB for cooperative geolocation of two devices using signals of opportunity

We consider the problem of localizing two devices using signals of opportunity from beacons with known positions. Beacons and devices have asynchronous local clocks or oscillators with unknown clock skews and offsets. We model clock skews as random, and analyze the biases introduced by clock asynchr...

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Main Authors: See, Samson Chong Meng, Razul, Sirajudeen Gulam, Win, Moe Z., Leng, Mei, Tay, Wee Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/104204
http://hdl.handle.net/10220/47839
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1042042020-03-07T14:00:37Z Modified CRLB for cooperative geolocation of two devices using signals of opportunity See, Samson Chong Meng Razul, Sirajudeen Gulam Win, Moe Z. Leng, Mei Tay, Wee Peng School of Electrical and Electronic Engineering Temasek Laboratories Differential Time Difference-of-arrival (DTDOA) Asynchronous Clocks DRNTU::Engineering::Electrical and electronic engineering We consider the problem of localizing two devices using signals of opportunity from beacons with known positions. Beacons and devices have asynchronous local clocks or oscillators with unknown clock skews and offsets. We model clock skews as random, and analyze the biases introduced by clock asynchronism in the received signals. By deriving the equivalent Fisher information matrix for the modified Bayesian Cramér-Rao lower bound (CRLB) of device position and velocity estimation, we quantify the errors caused by clock asynchronism. We propose an algorithm based on differential time-difference-of-arrival (DTDOA) and frequency-difference-of-arrival (FDOA) that mitigates the effects of clock asynchronism to estimate the device positions and velocities. Simulation results suggest that our proposed algorithm is robust and approaches the CRLB when clock skews have small standard deviations. Accepted version 2019-03-18T07:51:04Z 2019-12-06T21:28:27Z 2019-03-18T07:51:04Z 2019-12-06T21:28:27Z 2014 Journal Article Leng, M., Tay, W. P., See, S. C. M., Razul, S. G., & Win, M. Z. (2014). Modified CRLB for Cooperative Geolocation of Two Devices Using Signals of Opportunity. IEEE Transactions on Wireless Communications, 13(7), 3636-3649. doi:10.1109/TWC.2014.2314096 1536-1276 https://hdl.handle.net/10356/104204 http://hdl.handle.net/10220/47839 10.1109/TWC.2014.2314096 en IEEE Transactions on Wireless Communications © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TWC.2014.2314096 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Differential Time Difference-of-arrival (DTDOA)
Asynchronous Clocks
DRNTU::Engineering::Electrical and electronic engineering
spellingShingle Differential Time Difference-of-arrival (DTDOA)
Asynchronous Clocks
DRNTU::Engineering::Electrical and electronic engineering
See, Samson Chong Meng
Razul, Sirajudeen Gulam
Win, Moe Z.
Leng, Mei
Tay, Wee Peng
Modified CRLB for cooperative geolocation of two devices using signals of opportunity
description We consider the problem of localizing two devices using signals of opportunity from beacons with known positions. Beacons and devices have asynchronous local clocks or oscillators with unknown clock skews and offsets. We model clock skews as random, and analyze the biases introduced by clock asynchronism in the received signals. By deriving the equivalent Fisher information matrix for the modified Bayesian Cramér-Rao lower bound (CRLB) of device position and velocity estimation, we quantify the errors caused by clock asynchronism. We propose an algorithm based on differential time-difference-of-arrival (DTDOA) and frequency-difference-of-arrival (FDOA) that mitigates the effects of clock asynchronism to estimate the device positions and velocities. Simulation results suggest that our proposed algorithm is robust and approaches the CRLB when clock skews have small standard deviations.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
See, Samson Chong Meng
Razul, Sirajudeen Gulam
Win, Moe Z.
Leng, Mei
Tay, Wee Peng
format Article
author See, Samson Chong Meng
Razul, Sirajudeen Gulam
Win, Moe Z.
Leng, Mei
Tay, Wee Peng
author_sort See, Samson Chong Meng
title Modified CRLB for cooperative geolocation of two devices using signals of opportunity
title_short Modified CRLB for cooperative geolocation of two devices using signals of opportunity
title_full Modified CRLB for cooperative geolocation of two devices using signals of opportunity
title_fullStr Modified CRLB for cooperative geolocation of two devices using signals of opportunity
title_full_unstemmed Modified CRLB for cooperative geolocation of two devices using signals of opportunity
title_sort modified crlb for cooperative geolocation of two devices using signals of opportunity
publishDate 2019
url https://hdl.handle.net/10356/104204
http://hdl.handle.net/10220/47839
_version_ 1681040774236471296