Information distances for radar resolution analysis

Radmila Pribić, Geert Leus

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

A stochastic approach to resolution based on information distances computed from the geometry of data models which is characterized by the Fisher information is explored. Stochastic resolution includes probability of resolution and signal-to-noise ratio (SNR). The probability of resolution is assessed from a hypothesis test by exploiting information distances in a likelihood ratio. Taking SNR into account is especially relevant in compressive sensing (CS) due to its fewer measurements. Based on this information-geometry approach, we demonstrate the stochastic resolution analysis in test cases from array processing. In addition, we also compare our stochastic resolution bounds with the actual resolution obtained numerically from sparse signal processing which nowadays is a major component of the back end of any CS sensor. Results demonstrate the suitability of the proposed stochastic resolution analysis due to its ability to include crucial features in the resolution performance guarantees: array configuration or sensor design, SNR, separation and probability of resolution.

Original languageEnglish
Title of host publication2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-5386-1251-4
ISBN (Print)978-1-5386-1252-1
DOIs
Publication statusPublished - 2018
Event2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Willemstad, Curaçao
Duration: 10 Dec 201713 Dec 2017
Conference number: 7
http://www.cs.huji.ac.il/conferences/CAMSAP17/

Workshop

Workshop2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated titleCAMSAP
CountryCuraçao
CityWillemstad
Period10/12/1713/12/17
Internet address

Keywords

  • array processing
  • compressive sensing
  • information geometry
  • likelihood ratio
  • radar
  • resolution

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