Communication Algorithm 5: gain comparison of five encoding methods and MATLAB Simulation

Source: Internet
Author: User

1. convolution code gain performance and Error Rate

Channel environment: AWGN

SNR: 0: 0.1: 6

Matalb simulation architecture: Source bit + convolution code + BPSK + AWGN + Viterbi + Ber

Note: convolution code, different R bit rates, and different constraints


2. Turbo gain performance and Error Rate

Channel environment: AWGN

SNR :-.

Matalb simulation architecture: Source bit + Turbo encoding + BPSK + AWGN + turbo decoding + Ber

Note: turbo decoding, different decoding algorithms, different intertwined lengths, and different iterations.

LTE standard Turbo

3GPP standard Turbo (dsp6455, TCP2, vcp2, also verified)


3. Gain performance and Error Rate

Channel environment: AWGN

SNR :-.

Matalb simulation architecture: Source bit/S + low-income ratio encoding + BPSK + AWGN + low-income ratio decoding + Ber

(In the DVB-S2, CCSDS applications.

4. BCH/RS gain performance and bit error rate

Channel environment: AWGN

SNR :-.

Matalb simulation architecture: Source bit + BCH encoding + BPSK + AWGN + BCH decoding + Ber

<For more information and the corresponding Matlab code, contact QQ: 1279682290>


Communication Algorithm 5: gain comparison of five encoding methods and MATLAB Simulation

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