Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding
We consider the problem of coded communication, where in each time frame, the transmitter is either silent or transmits a codeword from a given (randomly selected) codebook. The task of the decoder is to decide whether transmission has taken place, and if so, to decode the message. We derive the opt...
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| Vydáno v: | IEEE transactions on information theory Ročník 60; číslo 9; s. 5077 - 5094 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
01.09.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 0018-9448, 1557-9654 |
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| Abstract | We consider the problem of coded communication, where in each time frame, the transmitter is either silent or transmits a codeword from a given (randomly selected) codebook. The task of the decoder is to decide whether transmission has taken place, and if so, to decode the message. We derive the optimum detection/decoding rule in the sense of the best tradeoff among the probabilities of decoding error, false alarm, and misdetection. For this detection/decoding rule, we then derive single-letter characterizations of the exact exponential rates of these probabilities for the average code in the ensemble. It is shown that previously proposed decoders are in general strictly suboptimal. |
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| AbstractList | We consider the problem of coded communication, where in each time frame, the transmitter is either silent or transmits a codeword from a given (randomly selected) codebook. The task of the decoder is to decide whether transmission has taken place, and if so, to decode the message. We derive the optimum detection/decoding rule in the sense of the best tradeoff among the probabilities of decoding error, false alarm, and misdetection. For this detection/decoding rule, we then derive single-letter characterizations of the exact exponential rates of these probabilities for the average code in the ensemble. It is shown that previously proposed decoders are in general strictly suboptimal. |
| Author | Merhav, Neri Weinberger, Nir |
| Author_xml | – sequence: 1 givenname: Nir surname: Weinberger fullname: Weinberger, Nir email: nir.wein@gmail.com organization: Department of Electrical Engineering, Technion, Haifa, Israel – sequence: 2 givenname: Neri surname: Merhav fullname: Merhav, Neri email: merhav@ee.technion.ac.il organization: Department of Electrical Engineering, Technion, Haifa, Israel |
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| Cites_doi | 10.1109/TIT.2008.926444 10.1109/TCOM.1963.1088781 10.1109/TCOM.1980.1094775 10.1109/TIT.2012.2184260 10.1109/TIT.2014.2322033 10.1561/0100000052 10.1109/ISIT.2011.6033695 10.1109/ISIT.2011.6034125 10.1109/TIT.2011.2165826 10.1109/TIT.2012.2236914 10.1109/TIT.1968.1054129 10.1109/TIT.2012.2227238 10.1109/18.720535 10.1109/18.243443 10.1109/18.705540 10.1109/TIT.2007.894632 10.1109/TIT.2009.2027484 10.1017/CBO9780511804441 10.1109/TIT.2014.2352300 10.1109/TCOM.1972.1091127 10.1109/ISIT.2014.6875276 10.1109/TIT.2009.2032819 10.1109/TCOM.1980.1094813 |
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| Keywords | unequal error protection error exponent false alarm misdetection Joint detection/decoding synchronization random coding Transmitter Decoding Random coding Optimal detection Synchronization Joint detection False alarm rate Codebook Error correction |
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| SubjectTerms | Applied sciences Coding theory Coding, codes Communications networks Decoding Detectors Encoding Exact sciences and technology Information theory Information, signal and communications theory Joints Noise Radiocommunications Signal and communications theory Telecommunications Telecommunications and information theory Transmitters Transmitters. Receivers Vectors |
| Title | Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding |
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