Optimal CPI selection based on doppler spread and image contrast

Davide Cataldo*, Marco Martorella

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Radar systems often allow for long dwell time on target. This can be achieved by using either wide beam antennas or by means of tracking systems. Long observation times are useful because they increase the probability to form effective Radar images. In fact, Radar images of non-cooperative moving targets strongly depend on the target's motions and often they are hard to interpret due to the particular image projection plane formed. Moreover, the image focus depends on the same motions. Therefore, it becomes essential to select a suitable time window in order to obtain an effective Radar image. This paper proposes a new technique for optimal time window selection. The proposed method is meant to combine different image quality parameters, namely Image Contrast (IC) and Doppler Spread (DS) and is tested by using real Radar data.

Original languageEnglish
Title of host publication2018 19th International Radar Symposium, IRS 2018
EditorsHermann Rohling
PublisherIEEE Computer Society Press
ISBN (Print)9783736995451
DOIs
Publication statusPublished - 27 Aug 2018
Event19th International Radar Symposium, IRS 2018 - Bonn, Germany
Duration: 20 Jun 201822 Jun 2018

Publication series

NameProceedings International Radar Symposium
Volume2018-June
ISSN (Print)2155-5753

Conference

Conference19th International Radar Symposium, IRS 2018
Country/TerritoryGermany
CityBonn
Period20/06/1822/06/18

Bibliographical note

Publisher Copyright:
© 2018 German Institute of Navigation - DGON.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Astronomy and Astrophysics
  • Instrumentation

Fingerprint

Dive into the research topics of 'Optimal CPI selection based on doppler spread and image contrast'. Together they form a unique fingerprint.

Cite this