FPGA-Based Large Constraint Length Convolution Code Encoder Verification

Abstract

The convolution code with large constraint length plays an irreplaceable role in deep space communication and ultra-low frequency communication. Therefore, it is very important to find and test convolution code with large constraint length. Convolutional codes are widely used in deep space communication systems because of their high coding gain and simple and reliable encoders. The performance and implementation difficulty of convolutional codes mainly depend on the constraint length of the decimal codes and the coding efficiency. Enlarging and improving the coding gain of convolutional codes will greatly increase the complexity of decoders. The method of mathematical derivation and verification by mathematical tools is not suitable for convolutional codes with large large constraint length.. In order to improve the efficiency of inspection, the method of parallel multi-core computing needs to be introduced into the evil code test. Tests show that the FPGA-based parallel inspection method can improve the test efficiency by geometric multiples.