OFDMSystemSim
📡 OFDM system simulation tool
OFDMSystemSim is an open-source project designed to model and simulate an Orthogonal Frequency Division Multiplexing (OFDM) communication system using the Jupyter Notebook environment. The simulation includes transmitter and receiver chains, signal propagation over noisy and multipath channels, synchronization, and advanced analyses such as PAPR and channel equalization.
🎯 Purpose
- 📡 Understand OFDM Communications: Implement the full digital chain from symbol generation to reception.
- 🧪 Numerical Experimentation: Analyze the effects of noise, multipath, and timing offsets.
- 📊 Performance Evaluation: Compute BER, visualize spectra, histograms, and constellations.
- ⚙️ Algorithm Exploration: Implement oversampling, hard-clipping, synchronization techniques, etc.
- 🛠️ Educational & Reusable: A versatile base for signal processing students, researchers, or enthusiasts.
📝 Features
| 🏷️ Feature | 🔍 Description |
|---|---|
| ⚙️ Fully Parametric Setup | Modulation type (QAM/PSK), SNR, number of subcarriers, symbol duration |
| 💾 OFDM Signal Generation | IFFT processing, cyclic prefix insertion, signal vector construction |
| 🌊 AWGN Channel | Additive white Gaussian noise based on specified SNR |
| 🛰️ Multipath Channel | Impulse response modeling and convolution with variable echo amplitudes |
| 🎛️ Timing Synchronization | Simulate timing offsets and evaluate simple synchronization strategies |
| 📉 PAPR Analysis | CCDF evaluation and visualization of PAPR distributions |
| ✂️ Hard Clipping | Reduce PAPR using nonlinear clipping with tunable thresholds |
| 📶 Zero-Forcing Equalization | Simple frequency-domain channel equalization |
| 📈 Visual Outputs | Constellations, histograms, power spectral density, PAPR curves |
🖥️ Screenshots
| 📡 OFDM Signal | 📊 Histograms | 📶 Constellation |
|---|---|---|
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🧪 Included Experiments
- BER vs SNR evaluation for QAM-16 and PSK-16
- Multipath channel simulation with variable echo amplitudes
- Desynchronization effects and their impact on BER and constellations
- PAPR CCDF analysis for various FFT sizes (32–1024)
- Hard clipping PAPR reduction (2 dB to 10 dB thresholds)
- Zero-forcing channel equalization
🛠️ Tools & Requirements
- 🧠 Python 3.8+
- 📦 Libraries:
numpy,scipy,matplotlib,notebook - 💻 Platform: Jupyter Notebook (local or online)