Direction Finding for a Mixture of Single-Transmission and Dual-Transmission Signals

Xiang Lan, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Currently, most of existing research in direction of arrival (DOA) estimation is focused on single signal transmission (SST) based signal. However, to make full use of the degree of freedom provided by the system in the polarisation domain, the dual signal transmission (DST) model has been adopted more and more widely in wireless communications. In this work, a DOA estimation method for a mixture of SST and DST signals (referred to as the mixed signal transmission (MST) model) is proposed. To our best knowledge, this is the first time to study the DOA estimation problem for such an MST model. There are two steps in the proposed method, which deals with the two kinds of signals separately. The performance of the proposed method is compared with the Cramér-Rao Bound (CRB) based on computer simulations.

Original languageEnglish
Title of host publication2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728153414
DOIs
Publication statusPublished - Dec 2019
Event19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019 - Ajman, United Arab Emirates
Duration: 10 Dec 201912 Dec 2019

Publication series

Name2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019

Conference

Conference19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019
Country/TerritoryUnited Arab Emirates
CityAjman
Period10/12/1912/12/19

Keywords

  • DOA estimation
  • dual signal transmission
  • linear tripole array
  • mixed signal transmission

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Information Systems and Management

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