Comparative Study of Burst Error Correcting Capability of Cyclic and Convolutional Codes on Different Channels

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Addis Ababa University


Environmental interference and physical defects in the communication medium can cause Errors during data transmission. Coding is a method of detecting and correcting these errors to Ensure that information is transferred intact from its source to its destination. The error detecting and correcting capability of a particular coding scheme is correlated with Its code rate and complexity. A high code rate means information content is high and coding Overhead is low. However, the fewer bits used for coding redundancy, the lesser error Protection is provided. A tradeoff must be made between bandwidth availability and the Amount of redundancy added for error protection. There are many types of error correcting codes. Each code is distinguished by the method used To add redundancy and how much of this redundancy is added to the information going out of The transmitter. The type of errors that tend to occur on the communication channel determines the choice of The coding scheme for error protection. A channel with burst errors will tend to have cluster of Bit errors that occur during one transmission and thus different from channels with random Errors. The prime objective of this work is to compare burst error correcting capability of Cyclic and convolutional code on different channels. Viii To achieve the objective, (15,9) cyclic and (3,2,8) convolutional codes with burst length, l=3 , (21,9) cyclic and (3,2,13) convolutional codes with burst length, l=6 and (21,3) cyclic and (3,2,18) convolutional codes with burst length, l=9 are selected .probability of error , p(e) is Important parameter used to measure and compare the performance of the three selected codes



Different, Channels