Presentation 2001/3/16
Adaptive Coding Schemes Using Finite State Machine for Software Defined Radio
Kentaro IKEMOTO, Ryuji KOHNO,
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Abstract(in English) Adaptive coding and decoding systems that can switch amongst different coding rates and error correcting capabilities in order to adapt to changes on application and environment are effective for Software Defined Radio (SDR). However, in these systems, a receiver cannot select a correct decoder what causes decoding errors, usually referred to as Decoder-Selection-Errors (DSE). We propose a trellis encoder estimation scheme that compensates for this problem. This scheme uses the circuit of finite state machine to limit the encoder transition and Viterbi algorithm for maximum likelihood trellis encoder estimation. Computer simulation is applied for evaluating the DSE rate, the BER of the proposed scheme in comparison with a conventional scheme.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive Coding and Decoding / Convolutional Code / Decoder Selection Error / Viterbi Algorism / Software Defined Radio
Paper # IT2000-98,ISEC2000-152,SST2000-182,ITS2000-107
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Conference Information
Committee ISEC
Conference Date 2001/3/16(1days)
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Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Adaptive Coding Schemes Using Finite State Machine for Software Defined Radio
Sub Title (in English)
Keyword(1) Adaptive Coding and Decoding
Keyword(2) Convolutional Code
Keyword(3) Decoder Selection Error
Keyword(4) Viterbi Algorism
Keyword(5) Software Defined Radio
1st Author's Name Kentaro IKEMOTO
1st Author's Affiliation Division of Electrical and Computer Engineering, Yokohama National University()
2nd Author's Name Ryuji KOHNO
2nd Author's Affiliation Division of Electrical and Computer Engineering, Yokohama National University
Date 2001/3/16
Paper # IT2000-98,ISEC2000-152,SST2000-182,ITS2000-107
Volume (vol) vol.100
Number (no) 692
Page pp.pp.-
#Pages 8
Date of Issue