A WLS Estimator for Target Localization in a Cooperative Wireless Sensor Network - Technological Innovation for Cyber-Physical Systems Access content directly
Conference Papers Year : 2016

A WLS Estimator for Target Localization in a Cooperative Wireless Sensor Network

Slavisa Tomic
  • Function : Author
  • PersonId : 998622
Rui Dinis
  • Function : Author
  • PersonId : 976822
Milan Tuba
  • Function : Author
  • PersonId : 985925

Abstract

This paper addresses target localization problem in a cooperative 3-D wireless sensor network (WSN). We employ non-traditional methodology which merges distance and angle measurements, respectively withdrawn from the received signal strength (RSS) and angle-of-arrival (AoA) information. Based on RSS measurement model and effortless geometry, a novel non-convex estimator according to the weighted least squares (WLS) criterion is obtained, which closely approximates the maximum likelihood (ML) estimator for small noise. It is shown that the devised estimator is appropriate for distributed implementation. Following the squared range (SR) approach, we propose a suboptimal SR-WLS estimator according to the generalized trust region sub-problem (GTRS) framework, to estimate the locations of all targets in the WSN. According to our simulations, the new estimator has excellent performance in a great variety of considered settings, in which the effectiveness of fusing two radio measurements is confirmed.
Fichier principal
Vignette du fichier
419233_1_En_27_Chapter.pdf (636.9 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01438252 , version 1 (17-01-2017)

Licence

Attribution

Identifiers

Cite

Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba. A WLS Estimator for Target Localization in a Cooperative Wireless Sensor Network. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. pp.273-283, ⟨10.1007/978-3-319-31165-4_27⟩. ⟨hal-01438252⟩
92 View
94 Download

Altmetric

Share

Gmail Facebook X LinkedIn More