A noise-constrained distributed adaptive direct position determination algorithm

Wei Xia, Xinglong Xia, Hongbin Li, Wei Liu, Jinfeng Hu, Zishu He

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In this work, we consider distributed localization of an emitter using a wireless senor network, where each sensor can, respectively, receive the signal transmitted by the emitter, estimate the noise variance and share information with its neighbors. We propose herein a noise-constrained distributed adaptive direct position determination (NCD-ADPD) algorithm by exploiting the a priori knowledge of the noise variance. The NCD-ADPD algorithm turns out to be a variable step-size extension of the recently proposed distributed adaptive direct position determination (D-ADPD) algorithm. Compared with its predecessor, the NCD-ADPD algorithm is endowed with markedly improved localization performance, which is validated by simulation results, at the cost of a slight increase of computational complexity.

Original languageEnglish
Pages (from-to)9-16
Number of pages8
JournalSignal Processing
Volume135
DOIs
StatePublished - 1 Jun 2017

Keywords

  • Adaptive direct position determination
  • Emitter localization
  • Noise constraint
  • Variable step-size

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