Title: Improved low complexity hybrid turbo codes and their performance analysis
Abstract:This paper proposes a new class of Turbo type codes referred to as Improved Low Complexity Hybrid Turbo Codes (ILCHTC). For low Bit Energy to Noise Ratio (E <sub xmlns:mml="http://www.w3.org/1998/Math...This paper proposes a new class of Turbo type codes referred to as Improved Low Complexity Hybrid Turbo Codes (ILCHTC). For low Bit Energy to Noise Ratio (E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">b</sub> /N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sub> )ILCHTC shows better convergence of errors than that of Low Complexity Hybrid Turbo Code (LCHTC). Simulation results show that ILCHTC achieves Bit Error Rate (BER) of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-5</sup> at E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">b</sub> /N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sub> of 1.9 dB, which is 0.4 dB more than that for Turbo Convolutional Codes (TCC). Analysis of ILCHTC and LCHTC decoders show that the number of computations reduce by a factor of two as compared to the computations of TCC decoder.Read More
Publication Year: 2010
Publication Date: 2010-06-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 14
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot