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Time-frequency DOA estimate algorithm based on SPWVD

  • Hang Hu*
  • *Corresponding author for this work

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

Abstract

In studies on DOA estimate based on time-frequency analysis, for the case of multi-signal sources, eliminating cross interference terms is an important problem. It is the key to improve DOA estimate performance. WVD is the most commonly used time-frequency analysis tool, but it has a very big bug that it will generate cross interference terms in case of multi-signal sources. So PWVD is used to suppress cross terms in many cases. However, the effect of PWVD suppressing cross terms doesn't be so ideal and the estimated results are not so reliable. This paper employ SPWVD which effectively suppress cross terms by using smoothing for two times in both time domain and frequency domain, consequently it improves the accuracy of DOA estimate much more greatly. Simulation results demonstrate in the background of multi sources the performance of DOA estimate algorithm based on SPWVD improves compared with that based on PWVD.

Original languageEnglish
Title of host publicationMAPE2005
Subtitle of host publicationIEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Pages1253-1256
Number of pages4
StatePublished - 2005
EventMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications - Beijing, China
Duration: 8 Aug 200512 Aug 2005

Publication series

NameMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Volume2

Conference

ConferenceMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications
Country/TerritoryChina
CityBeijing
Period8/08/0512/08/05

Keywords

  • Cross term suppression
  • DOA estimate
  • SPWVD
  • Time-frequency analysis

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