Waveform optimization for FDA radar

Nitsan Rubinshtein, Joseph Tabrikian

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

1 Scopus citations

Abstract

This paper addresses the problem of transmit signal design for target localization in a frequency diverse array (FDA) radar. For this purpose, we derive the Cramér-Rao bound (CRB) for target localization in FDA radar. The derived CRB is optimized with respect to the transmit signal parameters. It is commonly assumed that in radar systems the direction-of-arrival (DOA) estimation accuracy and resolution are determined by the transmit-receive array aperture. In FDA radar, a coupling between range and DOA estimation is generated. Using the derived CRB, we show that in FDA radar one is able to improve the DOA estimation accuracy and resolution by increasing the transmit signal bandwidth. The target localization performance is analyzed theoretically and via simulations, and it is shown that using the proposed approach for transmit signal optimization, results in superior target localization performance compared to conventional methods.

Original languageEnglish
Title of host publicationEUSIPCO 2019 - 27th European Signal Processing Conference
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Electronic)9789082797039
DOIs
StatePublished - 1 Sep 2019
Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain
Duration: 2 Sep 20196 Sep 2019

Publication series

NameEuropean Signal Processing Conference
Volume2019-September
ISSN (Print)2219-5491

Conference

Conference27th European Signal Processing Conference, EUSIPCO 2019
Country/TerritorySpain
CityA Coruna
Period2/09/196/09/19

Keywords

  • Cramér-Rao bound (CRB)
  • Frequency diverse array (FDA)
  • MIMO radar
  • Waveform optimization

Fingerprint

Dive into the research topics of 'Waveform optimization for FDA radar'. Together they form a unique fingerprint.

Cite this