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This study evaluates the performance of various channel coding schemes, including Parity Check, Hamming, Cyclic, and BCH codes, against Bit Error Rate (BER) and Signal-to-Noise Ratio (SNR) across different parameters. Key factors analyzed include sampling frequency, code rates (k/n), and modulation schemes such as Amplitude Shift Keying (ASK) and Phase Shift Keying (PSK). Results show that as code rates increase for Parity and Cyclic codes, the BER rises, impacting the effectiveness of each coding strategy. The implications for bandwidth consumption and overall error correction capabilities are also discussed.
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Performance Analysis of linear error correcting codes Group Members • Shantharam Iyer • Nitish Sinha • Anjana Rao • Premkumar Iyangar
Project Objective Comparison of the performance(BER v/s.SNR) of different channel coding schemes for varying: • A) Sampling Frequency • B) Code rate(k/n) • C)Modulation schemes for a AWGN channel
Decode/ Error Correction Modulation Recovered Message Data Message Data Gaussian Noise Demodulation Experimental Setup Encode
Channel Coding Techniques Used 1)Parity Check Codes: Corrects up to 1 error & Detects up to 1 error 2) Hamming Codes: Corrects one error & Detects upto 2 errors 3) Cyclic Codes Corrects one or more errors, depending on generator polynomial matrix size (n x k) and syndrome table (size (2^n-k) x n) 4) BCH Codes Corrects one or more errors, depending on generator polynomial matrix (n x k, n=(2^m)-1,m>3)
Modulation Schemes Investigated • Amplitude Shift Keying (ASK) - Information is stored in the amplitude of the signal • Phase Shift Keying (PSK) - Information is stored in the phase (zero crossings of the signal)
Conclusions on varying code rates Observation:As code rates increase for Parity and Cyclic , BER increases