Bit Error Rate Analysis of Coded OFDM for Digital Audio Broadcasting System Employing Parallel Concatenated Convolutional Turbo Codes

Project Code :TMMACO61

Objective

Detecting errors and analyzing of Bit Error Rate for Digital audio broadcasting system, employing coded OFDM using CYCLIC REDUNDANCY CHECKER

Abstract

In this paper, we present a study of detecting errors and Bit Error Rate (BER), for Digital Audio Broadcasting (DAB) system, employing Coded OFDM with a channel coding scheme. The analysis is carried out for cyclic redundancy checker bit in an Additive White Gaussian Channel (AWGN) based on different generator polynomials used for coding. A comparative study on the computational complexity is also done as Cyclic Redundancy checker is easy to implement, while the Turbo Codes are complex.

Keywords: Digital Audio Broadcasting (DAB), Orthogonal Frequency Division Multiplexing (OFDM), Additive White Gaussian Channel (AWGN) and Bit Error Rate (BER).

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: MATLAB R2020a.

Hardware:

Operating Systems:

• Windows 10

• Windows 7 Service Pack 1

• Windows Server 2019

• Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8

 

Learning Outcomes

  • Introduction to Matlab
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    • Image compression
    •  Morphological processing
    • Segmentation etc.,
  • How detect & send a mail using Matlab
  • How to extend our work to another real time applications
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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