Distributed angle estimation for localization in wireless sensor networks

Weile Zhang, Qinye Yin, Hongyang Chen, Feifei Gao, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

96 Scopus citations


In this paper, we design a new distributed angle estimation method for localization in wireless sensor networks (WSNs) under multipath propagation environment. We employ a two-antenna anchor that can emit two linear chirp waves simultaneously, and propose to estimate the angle of departure (AOD) of the emitted waves at each receiving node via frequency measurement of the local received signal strength indication (RSSI) signal. An improved estimation method is further proposed where multiple parallel arrays are adopted to provide the space diversity. The proposed methods rely only on radio transceivers and do not require frequency synchronization or precise time synchronization between the transceivers. More importantly, the angle is estimated at each sensor in a completely distributed manner. The performance analysis is derived and simulations are presented to corroborate the proposed studies.

Original languageEnglish (US)
Article number6399485
Pages (from-to)527-537
Number of pages11
JournalIEEE Transactions on Wireless Communications
Issue number2
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Wireless sensor network
  • angle of departure estimation
  • localization
  • multipath propagation


Dive into the research topics of 'Distributed angle estimation for localization in wireless sensor networks'. Together they form a unique fingerprint.

Cite this