Bayesian framework and radar: On misspecified bounds and radar-communication cooperation
Publication
, Conference
Richmond, CD; Basu, P
Published in: IEEE Workshop on Statistical Signal Processing Proceedings
August 24, 2016
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.
Duke Scholars
Published In
IEEE Workshop on Statistical Signal Processing Proceedings
DOI
Publication Date
August 24, 2016
Volume
2016-August
Citation
APA
Chicago
ICMJE
MLA
NLM
Richmond, C. D., & Basu, P. (2016). Bayesian framework and radar: On misspecified bounds and radar-communication cooperation. In IEEE Workshop on Statistical Signal Processing Proceedings (Vol. 2016-August). https://doi.org/10.1109/SSP.2016.7551792
Richmond, C. D., and P. Basu. “Bayesian framework and radar: On misspecified bounds and radar-communication cooperation.” In IEEE Workshop on Statistical Signal Processing Proceedings, Vol. 2016-August, 2016. https://doi.org/10.1109/SSP.2016.7551792.
Richmond CD, Basu P. Bayesian framework and radar: On misspecified bounds and radar-communication cooperation. In: IEEE Workshop on Statistical Signal Processing Proceedings. 2016.
Richmond, C. D., and P. Basu. “Bayesian framework and radar: On misspecified bounds and radar-communication cooperation.” IEEE Workshop on Statistical Signal Processing Proceedings, vol. 2016-August, 2016. Scopus, doi:10.1109/SSP.2016.7551792.
Richmond CD, Basu P. Bayesian framework and radar: On misspecified bounds and radar-communication cooperation. IEEE Workshop on Statistical Signal Processing Proceedings. 2016.
Published In
IEEE Workshop on Statistical Signal Processing Proceedings
DOI
Publication Date
August 24, 2016
Volume
2016-August