Performance Analysis In Term Bit Error Rate (BER) On Decoding Algorithm Of Turbo Codes

Nor Hasrimin , Md Nor (2010) Performance Analysis In Term Bit Error Rate (BER) On Decoding Algorithm Of Turbo Codes. Project Report. UTeM, Melaka, Malaysia. (Submitted)

	PDF (24 pages) Performance_Analysis_In_Term_Bit_Error_Rate_(BER)_On_Decoding_Algorithm_Of_Turbo_Codes_-_24_pages.pdf - Submitted Version Download (348kB)
	PDF (Full Text) Performance_Analysis_In_Term_Bit_Error_Rate_(BER)_On_Decoding_Algorithm_Of_Turbo_Codes_-_Full_Text.pdf - Submitted Version Restricted to Registered users only Download (1MB)

Abstract

This project focuses on the turbo codes decoding algorithm whose performance in terms of Bit Error Rate (BER) are close to the SHANNON limits. Soft Output Viterbi Algorithm (SOVA) and Log-Maximum A Posteriori (Log-MAP) turbo decoding algorithms are the two prime candidates for decoding turbo codes. This project used both of decoding algorithm. SOVA and Log-MAP turbo decoder are share common operations, making feasible a reconfigurable for reduced power consumption. Using a common scaling factor in the extrinsic information calculation of both algorithms can improve performance with minimal effort. The scaling factor is independent of the signal to noise ratio. Some explanation of the code performance and sheds some light on the relative importance of the code ingredients with particular emphasis on interleaving and puncturing in this report. Besides, this project are to compare the performance analysis in terms of Bit Error Rate (BER) by using two different decoding SOVA and Log-MAP. This project used the frame size (N), generator matrix (g), code rate (r) and number of iteration as parameter in the decoding process to get the results. Thus, the effect of varying the parameter on the error-correcting capability of the code can be readily investigated by changed the values of each parameter. It is also shown that the MAP algorithm gives a better error performance than the SOVA decoder under similar conditions. The simulation work is done by using a MALAB simulation platform.

Actions (login required)

View Item