Performance bounds for relative configuration and global transformation in cooperative localization

Cooperative localization introduces internode measurements to provide the node relative locations instead of absolute locations. This paper decomposes the absolute locations into relative configuration and global transformation, where the former can be specified by the internode measurements while t...

Full description

Bibliographic Details
Main Authors: Ping Zhang, Jian Lu, Qiao Wang
Format: Article
Language:English
Published: Elsevier 2016-03-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959515300886
id doaj-5f384ae6138742928518916f1b6d5071
record_format Article
spelling doaj-5f384ae6138742928518916f1b6d50712020-11-24T20:58:12ZengElsevierICT Express2405-95952016-03-0121141810.1016/j.icte.2016.02.003Performance bounds for relative configuration and global transformation in cooperative localizationPing Zhang0Jian Lu1Qiao Wang2Key Laboratory of Computer Application Technology, Anhui Polytechnic University, Wuhu, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing, ChinaCooperative localization introduces internode measurements to provide the node relative locations instead of absolute locations. This paper decomposes the absolute locations into relative configuration and global transformation, where the former can be specified by the internode measurements while the latter requires reference information. This decomposition can be used to investigate the relative localization which uses only internode measurements and the absolute localization with the consideration of anchor location uncertainty. After deriving the coordinate representations, error metric, and performance bounds for the global transformation, we evaluate the performance of a node location calibration that uses the measurements from sources in unknown locations.http://www.sciencedirect.com/science/article/pii/S2405959515300886Cramér–Rao lower bound (CRLB)Fisher information matrix (FIM)Procrustes coordinatesTime-difference-of-arrival (TDOA)Unbiased estimate
collection DOAJ
language English
format Article
sources DOAJ
author Ping Zhang
Jian Lu
Qiao Wang
spellingShingle Ping Zhang
Jian Lu
Qiao Wang
Performance bounds for relative configuration and global transformation in cooperative localization
ICT Express
Cramér–Rao lower bound (CRLB)
Fisher information matrix (FIM)
Procrustes coordinates
Time-difference-of-arrival (TDOA)
Unbiased estimate
author_facet Ping Zhang
Jian Lu
Qiao Wang
author_sort Ping Zhang
title Performance bounds for relative configuration and global transformation in cooperative localization
title_short Performance bounds for relative configuration and global transformation in cooperative localization
title_full Performance bounds for relative configuration and global transformation in cooperative localization
title_fullStr Performance bounds for relative configuration and global transformation in cooperative localization
title_full_unstemmed Performance bounds for relative configuration and global transformation in cooperative localization
title_sort performance bounds for relative configuration and global transformation in cooperative localization
publisher Elsevier
series ICT Express
issn 2405-9595
publishDate 2016-03-01
description Cooperative localization introduces internode measurements to provide the node relative locations instead of absolute locations. This paper decomposes the absolute locations into relative configuration and global transformation, where the former can be specified by the internode measurements while the latter requires reference information. This decomposition can be used to investigate the relative localization which uses only internode measurements and the absolute localization with the consideration of anchor location uncertainty. After deriving the coordinate representations, error metric, and performance bounds for the global transformation, we evaluate the performance of a node location calibration that uses the measurements from sources in unknown locations.
topic Cramér–Rao lower bound (CRLB)
Fisher information matrix (FIM)
Procrustes coordinates
Time-difference-of-arrival (TDOA)
Unbiased estimate
url http://www.sciencedirect.com/science/article/pii/S2405959515300886
work_keys_str_mv AT pingzhang performanceboundsforrelativeconfigurationandglobaltransformationincooperativelocalization
AT jianlu performanceboundsforrelativeconfigurationandglobaltransformationincooperativelocalization
AT qiaowang performanceboundsforrelativeconfigurationandglobaltransformationincooperativelocalization
_version_ 1716786211431907328