Simulation Program for Convolutional Code Viterbi Decoding Algorithm

The simulation program for convolutional code Viterbi decoding algorithm requires implementation using recursive convolutional codes with trellis termination processing, and must complete the following key steps: 1. Implement the convolutional encoding process, including generator polynomial formulation and encoder configuration. This involves designing shift registers and XOR operations based on the chosen polynomial coefficients to create a systematic encoding structure. 2. Design the Viterbi decoding algorithm to decode convolutional codes and recover original information. The implementation requires calculating path metrics using Hamming or Euclidean distance, maintaining survivor paths through traceback operations, and implementing the Add-Compare-Select (ACS) unit for efficient state transitions. 3. Conduct simulation experiments by inputting various test data sequences to verify the reliability and accuracy of the Viterbi decoding algorithm. This includes testing with different signal-to-noise ratios, evaluating bit error rate performance, and comparing theoretical bounds with practical results. 4. For trellis termination processing, appropriate handling of termination bits must be considered during both encoding and decoding processes to ensure reliable data transmission. This involves flushing the encoder memory to a known state and properly handling the tail bits during traceback operations in the decoder. By meeting these requirements, you can complete the convolutional code Viterbi decoding algorithm simulation program and validate its effectiveness in trellis termination scenarios. The implementation should include proper state initialization, metric normalization techniques, and efficient memory management for practical applications.