scholarly journals Convolutional Coding Using Booth Algorithm For Application in Wireless Communication

2011 ◽  
pp. 37-41
Author(s):  
Sishir Kalita ◽  
Parismita Gogoi ◽  
Kandarpa Kumar Sarma
Keyword(s):  
Error Control ◽  
Signal To Noise Ratio ◽  
Convolutional Codes ◽  
Viterbi Decoding ◽  
Chip Design ◽  
Error Control Codes ◽  
Convolutional Coding ◽  
Multiplication Process ◽  
Fast Multiplication ◽  
Convolutional Encoding

Convolutional codes are preferred types of error control codes which can achieve low BERs at signal to noise ratio (SNR) very close to Shannon limit. Here, a new method of convolutional encoding is proposed using the general Booth algorithm for multiplication. This algorithm follows a fast multiplication process and achieves a significantly less computational complexity over its conventional counterparts. It can be a useful technique for use in chip design as it provides significant improvements. In this work, the performance of conventional convolutional coding with Viterbi decoding in AWGN channel, is studied and the results show the effectiveness of the work described here.

Hybrid Arq Type I Based On Convolutional Code

2012 ◽  
Author(s):  
Hazilah Mad Kaidi ◽  
Muhammad Ibrahim
Keyword(s):  
Error Correction ◽  
Error Control ◽  
Convolutional Code ◽  
Convolutional Codes ◽  
Packet Transmission ◽  
Type I ◽  
Hybrid Arq ◽  
Convolutional Coding ◽  
Error Correction Capability ◽  
Control Scheme

Hibrid Automatik Permintaan Ulangan (HARQ), sejenis kaedah mengawal kesilapan berdasarkan pada kod konvolutional di penghantaran paket merentasi saluran tanpa wayar telah dikemukakan. Analisis prestasi daya pemprosesan dan kadar–bit–silap (BER), merujuk kepada simulasi panjang kekangan yang berbeza (K=3 dan K=4) dan kadar kod (1/2 dan 1/3) di kod konvolutional pada HARQ jenis I telah dipersembahkan. Beberapa kebolehupaya kesilapan pembetulan disediakan pada setiap penghantaran semula paket dan maklumat yang boleh dibaiki semula dengan sendiri dari setiap penghantaran atau penghantaran semula jikalau kesilapan adalah berada di antara julat kebolehupaya pembetulan kesilapan. Simulasi HARQ adalah terhad kepada tiga penghantaran semula bagi setiap satu SNR dalam beberapa kali perulangan. Kata kunci: Istilah–Hibrid ARQ; ARQ; pengkodan konvolusional; kawalan kesilapan A Hybrid Automatic Repeat reQuest (HARQ), error control scheme based on a convolutional code for packet transmission over wireless channels was proposed. The analysis of the throughput and bit–error rate (BER) performance, according to the different constraint lengths (K=3 and K=4) and code rate (1/2 and 1/3) of convolutional codes on HARQ type I simulation scheme are presented. Certain error correction capability is provided in each (re)transmitted packet, and the information can be recovered from each transmission or retransmission alone if the errors are within the error correction capability. Simulation of HARQ is limited up to three retransmissions for each SNR in several iterations. Key words: Terms–Hybrid ARQ; ARQ; convolutional coding; error control

scholarly journals Bluetooth Low Energy Error Correction Based on Convolutional Coding

2021 ◽  
Vol 2093 (1) ◽  
pp. 012033
Author(s):  
Yue Cao ◽  
Zaixin Liu ◽  
Longyu Wu
Keyword(s):  
Internet Of Things ◽  
Information Transmission ◽  
Error Correction ◽  
Signal To Noise Ratio ◽  
Convolutional Codes ◽  
Correction Method ◽  
Low Energy ◽  
High Signal ◽  
Bluetooth Low Energy ◽  
Convolutional Coding

Abstract Contemporarily, the Internet of Things (IoT) is recently a newly emerging technology for connecting small devices into a platform; the IoT has been an increasingly demanded front-edge technology in terms of connecting different devices using information transmission and storage technology. To adapt to the small capacities of device batteries, Bluetooth Low Energy is adopted as the protocol of communication. However, the existing standards do not have a suitable and specific error correction method. As there is no ideal information transmission channel, there must be errors that occurred during message transmission. The performance and capacity of error correction become decisive factors in evaluating how efficient the IoT communication system performs. This article uses convolutional coding—a better-performing coding scheme than block coding—to correct errors in information transmission and reception on Internet of Things devices. It is better competent to control and correct bit errors in information transmission. To achieve this goal, convolutional coding algorithms devised by Dr Justin Coon at the University of Oxford have been referred to. By simulation using MATLAB, it has been found that the error rate is enhanced significantly for high Signal-to-Noise Ratio (SNR) in convolutional codes compared to uncoded messages.

scholarly journals Construction for obtaining trellis run length limited error control codes from convolutional codes

2017 ◽  
Vol 68 (5) ◽  
pp. 401-404
Author(s):  
Peter Farkaš ◽  
Frank Schindler
Keyword(s):  
Error Control ◽  
Convolutional Codes ◽  
Block Codes ◽  
Parity Check ◽  
Error Control Codes ◽  
Run Length ◽  
Linear Block Codes ◽  
Low Density Parity Check ◽  
New Construction ◽  
The One

Abstract Recently a new construction of run length limited block error control codes based on control matrices of linear block codes was proposed. In this paper a similar construction for obtaining trellis run length limited error control codes from convolutional codes is described. The main advantage of it, beyond its simplicity is that it does not require any additional redundancy except the one which is already contained in the original convolutional error control code. One example is presented how to get such a code from a convolutional low density parity check code.

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