Time Allocation for Integrated Bi-Static Radar and Communication Systems
Integrated radar and communications systems are increasingly important for applications requiring both sensing and information exchange. In this letter, we study the time allocation problem for an integrated bi-static radar and communications system. A closed-form expression for the achievable rate...
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Veröffentlicht in: | IEEE communications letters 2021-03, Vol.25 (3), p.1033-1036 |
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description | Integrated radar and communications systems are increasingly important for applications requiring both sensing and information exchange. In this letter, we study the time allocation problem for an integrated bi-static radar and communications system. A closed-form expression for the achievable rate considering radar detection accuracy is derived analytically for this problem and optimized. Numerical results reveal that the optimum time allocation is characterized by the signal-to-noise ratio and the prior probability of target. |
doi_str_mv | 10.1109/LCOMM.2020.3039054 |
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In this letter, we study the time allocation problem for an integrated bi-static radar and communications system. A closed-form expression for the achievable rate considering radar detection accuracy is derived analytically for this problem and optimized. Numerical results reveal that the optimum time allocation is characterized by the signal-to-noise ratio and the prior probability of target.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2020.3039054</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Bi-static radar ; communications ; Communications systems ; Conditional probability ; Detectors ; Information exchange ; optimization ; Passive radar ; probability of detection ; Radar ; Radar detection ; Resource management ; Signal to noise ratio</subject><ispartof>IEEE communications letters, 2021-03, Vol.25 (3), p.1033-1036</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this letter, we study the time allocation problem for an integrated bi-static radar and communications system. A closed-form expression for the achievable rate considering radar detection accuracy is derived analytically for this problem and optimized. Numerical results reveal that the optimum time allocation is characterized by the signal-to-noise ratio and the prior probability of target.</description><subject>Bi-static radar</subject><subject>communications</subject><subject>Communications systems</subject><subject>Conditional probability</subject><subject>Detectors</subject><subject>Information exchange</subject><subject>optimization</subject><subject>Passive radar</subject><subject>probability of detection</subject><subject>Radar</subject><subject>Radar detection</subject><subject>Resource management</subject><subject>Signal to noise ratio</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFb_gF4CnlNnv7K7xxrUFlIKtp6XyWYrKU1Sd9ND_72pLV5mBuZ9ZuAh5JHChFIwL0W-XCwmDBhMOHADUlyREZVSp2wo18MM2qRKGX1L7mLcAoBmko7IbF03Ppnudp3Dvu7aZNOFZN72_jtg76vktU5X_bBxySdWGBJsqyTvmubQ1hdgdYy9b-I9udngLvqHSx-Tr_e3dT5Li-XHPJ8WqePc9KkQqnTCUIfeCGAGS0Wd0dQpmmUSNQfDEAWrKl5K5bhyiKUXVJlKoHaOj8nz-e4-dD8HH3u77Q6hHV5aJoFyBpmhQ4qdUy50MQa_sftQNxiOloI9GbN_xuzJmL0YG6CnM1R77_8BwzKmJeO_sOBmxQ</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Chen, Yunfei</creator><creator>Gu, Xueyun</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Bi-static radar communications Communications systems Conditional probability Detectors Information exchange optimization Passive radar probability of detection Radar Radar detection Resource management Signal to noise ratio |
title | Time Allocation for Integrated Bi-Static Radar and Communication Systems |
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