Implementation of Low-Density Parity-Check (LDPC) Codes in Verilog HDL

Also Available Domains DSP Core

Project Code :TVMAFE724

Objective

1. To understand the structure and properties of LDPC codes and their advantages in error correction for digital communication systems. 2. To design and implement LDPC encoder and decoder modules in Verilog HDL for efficient hardware realization.

Abstract

Low-Density Parity-Check (LDPC) codes are powerful forward error correction (FEC) techniques widely used in modern communication systems due to their near-Shannon-limit performance. LDPC codes employ sparse parity-check matrices and iterative decoding algorithms to achieve high error correction capability with relatively low complexity. This project presents the design and implementation of an LDPC encoder and decoder using Verilog HDL, targeting efficient hardware realization for high-speed and low-power applications. The proposed design focuses on optimized parity-check matrix representation, parallel processing, and iterative decoding using message-passing algorithms. The architecture is suitable for FPGA and ASIC platforms and supports reliable data transmission in noise-prone communication environments.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

 Hardware Requirements

  • Microsoft® Windows 10 / Windows 11 (64-bit)
  • Intel® Core™ i5 / i7 Processor or equivalent
  • Minimum 8 GB RAM
  • Minimum 500 MB free disk space

Learning Outcomes

Understand LDPC coding principles and sparse matrix operations

 

Gain knowledge of hardware-based error correction techniques

 

Learn iterative decoding algorithms and message-passing concepts

 

Analyze trade-offs between speed, area, and power in VLSI design

 

Develop practical skills in Verilog HDL for communication systems

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