Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests
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, Conference
Richmond, CD; Basu, P
Published in: 2018 IEEE Radar Conference, RadarConf 2018
June 8, 2018
A radar receiver cooperating with a communication system to share spectrum is challenged by composite hypothesis testing that is compounded by the persistent presence of in-band communication signals. Two established approaches to composite hypothesis testing are explored within the cooperative radar-communication context: (i) Bayesian integration (leading to the average likelihood ratio test (ALRT)), and (ii) the generalized likelihood ratio test (GLRT). The receiver operating characteristic (ROC) performance and practicality of the receive architectures implied by the ALRT and GLRT are examined.
Duke Scholars
Published In
2018 IEEE Radar Conference, RadarConf 2018
DOI
Publication Date
June 8, 2018
Start / End Page
1584 / 1588
Citation
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Richmond, C. D., & Basu, P. (2018). Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests. In 2018 IEEE Radar Conference, RadarConf 2018 (pp. 1584–1588). https://doi.org/10.1109/RADAR.2018.8378803
Richmond, C. D., and P. Basu. “Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests.” In 2018 IEEE Radar Conference, RadarConf 2018, 1584–88, 2018. https://doi.org/10.1109/RADAR.2018.8378803.
Richmond CD, Basu P. Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests. In: 2018 IEEE Radar Conference, RadarConf 2018. 2018. p. 1584–8.
Richmond, C. D., and P. Basu. “Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests.” 2018 IEEE Radar Conference, RadarConf 2018, 2018, pp. 1584–88. Scopus, doi:10.1109/RADAR.2018.8378803.
Richmond CD, Basu P. Architectures for cooperative radar-communications: Average vs. generalized likelihood ratio tests. 2018 IEEE Radar Conference, RadarConf 2018. 2018. p. 1584–1588.
Published In
2018 IEEE Radar Conference, RadarConf 2018
DOI
Publication Date
June 8, 2018
Start / End Page
1584 / 1588