Improving Error Correction Code for Multiple Cell Upsets in Space Applications

Also Available Domains Communications|Xilinx Vivado

Project Code :TVMATO25

Objective

The main objective of this project is to implement a series of new low redundant Error Correction Codes able to correct Multiple-Cell Upsets with reduced area, power, and delay overheads.

Abstract

Currently, faults suffered by SRAM memory systems have increased due to the aggressive CMOS integration density. Thus, the probability of occurrence of single-cell upsets (SCUs) or multiple-cell upsets (MCUs) augments. One of the main causes of MCUs in space applications is cosmic radiation. A common solution is the use of error correction codes (ECCs).

Nevertheless, when using ECCs in space applications, they must achieve a good balance between error coverage and redundancy, and their encoding/decoding circuits must be efficient in terms of area, power, and delay. Different codes have been proposed to tolerate MCUs. For instance, Matrix codes use Hamming codes and parity checks in a bi-dimensional layout to correct and detect some patterns of MCUs.

Recently presented, column–line–code (CLC) has been designed to tolerate MCUs in space applications. CLC is a modified Matrix code, based on extended Hamming codes and parity checks. Nevertheless, a common property of these codes is the high redundancy introduced. In this paper, we present a series of new low redundant ECCs able to correct MCUs with reduced area, power, and delay overheads. Also, these new codes maintain, or even improve, memory error coverage with respect to Matrix and CLC codes.

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

Block Diagram

Specifications

Software Requirements:

Xilinx ISE Tool
HDL: Verilog

Hardware Requirements:

Microsoft® Windows XP
Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
512 MB RAM
100 MB of available disk space

Learning Outcomes

Basics of Digital Electronics
FPGA design Flow
Introduction to Verilog Coding
Different modeling styles in Verilog

Data Flow modeling
Structural modeling
Behavioral modeling
Mixed level modeling

Combinational & Sequential circuits
Knowledge on Error correction codes
Study on Hamming code
Knowledge on Matrix, CLC, and both SEC–DAED codes
About single cell upsets and multi cell upsets
Applications of error correction codes in real time
Xilinx ISE 14.7 for design and simulation
Generation of Netlist
Solution providing for real time problems
Project Development Skills:

Problem Analysis Skills
Problem Solving Skills
Logical Skills
Designing Skills
Testing Skills
Debugging Skills
Presentation Skills
Thesis Writing Skills

Demo Video

Front End Domains

Cadence EDA
Finite State Machines
Arithmetic Core
DSP Core
Communications
Nano Technology
Testing

Back End Domains

Nano Technology
Cadence EDA
Low Power VLSI
Core Memories
Transistor Logic

Tools

FPGA
H-Spice
Cadence EDA
QCA
Xilinx Vivado
Xilinx ISE
Tanner EDA
LT-Spice

Others

Matlab Interfacing

H-Spice

LT-Spice