Bayesian framework and radar: On misspecified bounds and radar-communication cooperation

Christ Richmond, Prabahan Basu

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

4 Scopus citations

Abstract

The Bayesian framework is versatile as it allows for incorporation of prior knowledge or experience in making inference. The case of no prior knowledge at all is likewise seamlessly supported. The Bayesian framework is naturally suited to many fields of science and engineering including the discipline of radar design, analysis, and function. This paper will highlight recent findings on (i) Bayesian bounds under model misspecification that include the impact of using incorrect prior information, and (ii) parameter estimation for a cooperative radar-communication system.

Original languageEnglish (US)
Title of host publication2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016
PublisherIEEE Computer Society
Volume2016-August
ISBN (Electronic)9781467378024
DOIs
StatePublished - Aug 24 2016
Externally publishedYes
Event19th IEEE Statistical Signal Processing Workshop, SSP 2016 - Palma de Mallorca, Spain
Duration: Jun 25 2016Jun 29 2016

Other

Other19th IEEE Statistical Signal Processing Workshop, SSP 2016
CountrySpain
CityPalma de Mallorca
Period6/25/166/29/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Bayesian framework and radar: On misspecified bounds and radar-communication cooperation'. Together they form a unique fingerprint.

  • Cite this

    Richmond, C., & Basu, P. (2016). Bayesian framework and radar: On misspecified bounds and radar-communication cooperation. In 2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016 (Vol. 2016-August). [7551792] IEEE Computer Society. https://doi.org/10.1109/SSP.2016.7551792