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

Project Code :TMMACO61


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


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.

KeywordsDigital 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


Software: MATLAB R2020a.


Operating Systems:

• Windows 10

• Windows 7 Service Pack 1

• Windows Server 2019

• Windows Server 2016


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


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


Minimum: 4 GB

Recommended: 8


Learning Outcomes

  • Introduction to Matlab
  • 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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