Title :
On the design and selection of convolutional codes for an uninterleaved, bursty Rician channel
Author :
Kaplan, Gideon ; Shamai, Shlomo ; Kofman, Yosef
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
12/1/1995 12:00:00 AM
Abstract :
This article focuses on code design and code selection rules under power and decoding delay constraints for an antipodal (BPSK) modulated and convolutionally encoded communication system. The system operates over a slowly fading AWGN channel, described by the block-fading model. We emphasize perfect coherent detection with maximum likelihood decoding assuming ideal channel information (the instantaneous fading values). The dominant design criterion in this scenario is the code diversity level in terms of blocks while the standard Hamming distance plays a secondary role. A code design procedure, based on maximum distance separable (MDS) cyclic block codes is presented along with a code-search algorithm. The performance results of selected codes are assessed via simulation and compared to those achieved by Reed-Solomon codes with erasure and error decoding
Keywords :
Gaussian channels; Rician channels; block codes; convolutional codes; cyclic codes; delays; fading; maximum likelihood decoding; phase shift keying; search problems; signal detection; BPSK; Hamming distance; Reed-Solomon codes; antipodal modulated communication system; block-fading model; code design; code diversity level; code selection; code-search algorithm; coherent detection; convolutional codes; convolutionally encoded communication system; decoding delay constraints; error decoding; ideal channel information; instantaneous fading values; maximum distance separable cyclic block codes; maximum likelihood decoding; performance results; power constraints; slowly fading AWGN channel; uninterleaved bursty Rician channel; AWGN channels; Binary phase shift keying; Code standards; Convolutional codes; Delay; Fading; Maximum likelihood decoding; Maximum likelihood detection; Modulation coding; Power system modeling;
Journal_Title :
Communications, IEEE Transactions on