Vol. 10, no.2, 2018
РусскийEnglish
INFORMATION TECHNOLOGIES
CHARACTERISTICS OF ERROR-CORRECTING SHORTENED BLOCK TURBO-CODES OF ITERATIVE RECEPTION OF INFORMATION
1Lev E. Nazarov, 2Pavel V. Shishkin
1Kotelnikov Institute of Radioengineering and Electronics of RAS, http://www.cplire.ru
Moscow 125009, Russian Federationn
2Moscow Office of ISS-Reshetnev Compani, http://www.iss-reshetnev.ru
16/37, Mytishchinskaya str., Moscow 129626, Russian Federation
nazarov@sunclass.ire.rssi.ru, shishkin@mail.ru
Received 16.06.2003 [1]
Abstract. The focus of paper is directed towards the investigation of the characteristics of error-correcting block turbo-codes which enable communication at relatively low received signal/noise and provide very high power efficiency. Specific feature of investigated turbo-codes is construction with shortened information block for generated error-correcting block-code. According to this the considered shortened turbo-codes have symbol-by-symbol decoding algorithms developed for total class of turbo-codes, namely, decoding algorithms based on modified Chase algorithm. These decoding algorithms with low complexity implementation are iterative and for implementation the channel parameter signal/noise is not required. The resulted characteristics of shortened turbo-codes constructed with usage generated turbo-code (duration of code words, information volume, code rate, error performances) are presented in this paper. The computer simulations for iterative decoding algorithms for the number of turbo-codes with different code rate and information volumes are performed. The results of computer simulations have shown that the investigated shortened turbo-codes are more effective than known convolutional codes with equivalent parameters - the degradation of signal/noise is about 1.85 dB for bit-error 0.00001 for convolutional code with code rate 1/2 concerning the shortened turbo-code based on generated turbo-code with parameters (16384,12769,36).
Keywords: error-correcting codes, block product codes, iterative decoding, error performances
UDC 621.391.01
RENSIT, 2018, 10(2):323-328 DOI: 10.17725/rensit.2018.10.323
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/259/10(2)323-328e.pdf