Fundamental localization accuracy in narrowband array-based systems

Yanjun Han, Huadong Meng, Yuan Shen, Yimin Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Location-awareness is essential for many wireless network applications in both civil and military sectors. In this paper, we determine the localization accuracy of narrowband localization systems in which each mobile agent is equipped with an antenna array. Due to non-coherent estimators, the phases of the received signals can only be exploited for angle-of-arrival (AOA) estimation but not time-of-arrival (TOA). Based on such estimators, we derive the fundamental localization accuracy in terms of the squared position error bound (SPEB) in far-field harsh multipath environments. Moreover, we characterize the effects of the geometry of anchors and array antennas on the localization accuracy, yielding the criteria for optimal array design and network deployment. Our analysis exploits all the TOA and AOA information in the received waveform for localization using narrowband array-based systems, and the resulting SPEB serves as a fundamental limit for such systems.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4668-4672
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/TerritoryItaly
CityFlorence
Period5/4/145/9/14

Keywords

  • Antenna arrays
  • Geometric property
  • Localization
  • TOA/AOA
  • Wireless networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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