https://github.com/anshuman-02/modulation-scheme-ber-analysis
This project analyzes the Bit Error Rate (BER) for different modulation schemes (BPSK, QPSK, 16-QAM, and 64-QAM) in the absence of error-correcting codes. The results are plotted with respect to different Signal-to-Noise Ratios (SNRs).
https://github.com/anshuman-02/modulation-scheme-ber-analysis
awgn beranalysis bpsk matlab modulationschemes qam qpsk signalprocessing snr
Last synced: 19 days ago
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This project analyzes the Bit Error Rate (BER) for different modulation schemes (BPSK, QPSK, 16-QAM, and 64-QAM) in the absence of error-correcting codes. The results are plotted with respect to different Signal-to-Noise Ratios (SNRs).
- Host: GitHub
- URL: https://github.com/anshuman-02/modulation-scheme-ber-analysis
- Owner: Anshuman-02
- Created: 2025-01-21T13:51:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-21T13:55:13.000Z (over 1 year ago)
- Last Synced: 2025-01-21T14:38:53.685Z (over 1 year ago)
- Topics: awgn, beranalysis, bpsk, matlab, modulationschemes, qam, qpsk, signalprocessing, snr
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Modulation Scheme BER Analysis
This project analyzes the Bit Error Rate (BER) for different modulation schemes (BPSK, QPSK, 16-QAM, and 64-QAM) in MATLAB. It demonstrates the impact of Signal-to-Noise Ratio (SNR) on the performance of each modulation scheme without the use of error-correcting codes.
## Key Features:
- BPSK, QPSK, 16-QAM, and 64-QAM modulation schemes.
- Additive White Gaussian Noise (AWGN) is used for simulating noisy channels.
- BER is calculated and plotted against SNR for each modulation scheme.
## MATLAB Code:
- `modulation_scheme.m`: Main script for BER analysis and plotting results.
## How to Run:
1. Download or clone the repository.
2. Open the MATLAB script `modulation_scheme.m`.
3. Run the script to generate BER vs. SNR plots for each modulation scheme.
## Requirements:
- MATLAB (R2020 or later recommended)
- Communications System Toolbox
## Results:
The script produces a plot showing the BER for different modulation schemes against varying SNR values.