Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

  • Chenlei Li
  • , Mei Liu*
  • , Pengfei Wang
  • , He Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages186-189
Number of pages4
ISBN (Electronic)9781479964178
DOIs
StatePublished - 28 Sep 2015
Externally publishedYes
EventInternational Conference on Estimation, Detection and Information Fusion, ICEDIF 2015 - Harbin, China
Duration: 10 Jan 201511 Jan 2015

Publication series

NameProceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

Conference

ConferenceInternational Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
Country/TerritoryChina
CityHarbin
Period10/01/1511/01/15

Keywords

  • Direction of arrival (DOA)
  • High-order instantaneous moment (HIM)
  • Polynomial-phase signal (PPS)
  • Subspace

Fingerprint

Dive into the research topics of 'Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays'. Together they form a unique fingerprint.

Cite this