FPGA implementing method for Turbo product code optimized encoding and decoding algorithm

Abstract

An FPGA realization method for optimizing coding / decoding algorithm with Turbo product code comprises the following steps: 1) coding, after the data to be coded is transmitted to a random access memory, reading in by the coder from the random access memory line by line or row by row, executing lien or row coding with Turbo product code, after line coding or row coding is finished, coding row by row or line by line, writing the coded data into an output Ram, when the output Ram is full, outputting frame header, then reading out the whole block of data in the output Ram, complementing the clock gap from the completion of data output to the output of next data block; and shortening the information bit according to the requirement of code rate; 2) framing, framing and transmitting the output data after coding; and 3) decoding, de-framing and decoding the received data. The invention can be flexibly configured for aiming at different application requirements. A higher data speed can be obtained through parallel using a plurality of decoding units. The FPGA realization method can be used for high-speed data transmission.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to forward error correction coding and decoding technology in information transmission, and is a new FPGA implementation method of TPC coding and decoding algorithm. Background technique [0002] In data communication, channel coding and decoding is one of the core components of the communication system, and it is committed to providing higher transmission reliability for the system. Turbo product code (Turbo Product Code, referred to as TPC) encoding and decoding technology is an error control technology developed in the past ten years. Composed of new coding techniques. TPC has a very good error correction ability, not only greatly improves the system performance in the additive white Gaussian noise channel (AWGN), but also greatly improves the system performance in the Rayleigh fading channel (Rayleigh Fading Channel). [0003] TPC is a product code, and its basic struct...

AI Technical Summary

Problems solved by technology

[0005] In addition, most of the existing TPC solutions are various special-purpose ICs and various high-speed signal communication instruments, which are expensive to use, inconvenient to use, and poor in flexibility.

The configuration of IP core (IP core) is cumbersome, the cost is relatively high, or the algorithm is too simplified, the performance is not high, and because there is no core code, it cannot be modified independently according to the development needs

Images