Getting Started: This simulation demonstrates the complete OFDM (Orthogonal Frequency Division Multiplexing) signal processing chain from transmitter to receiver.
Configure Parameters: Set the FFT size (N), number of data subcarriers, modulation scheme (BPSK/QPSK/16-QAM), cyclic prefix length, SNR, and equalization method.
Run Simulation: Click "Run Simulation" to process the OFDM signal through the complete transmit-receive chain.
Navigate Through Blocks: Use "Next" and "Previous" buttons to step through each processing block (S/P+Mapping → IDFT → Add CP → Channel → AWGN → Remove CP → FFT → Equalizer → Demapping+P/S).
Observe Block Diagram: Watch as each block in the flow diagram highlights to show the current processing stage.
Analyze Outputs: View the constellation diagrams showing transmitted and received symbols, and examine the frequency spectrum at different stages.
Understand Impact: Observe how channel effects and noise affect the signal, and how equalization recovers the transmitted data.
Experiment: Try different modulation schemes, SNR values, and equalization methods to understand their impact on signal quality.
Step-by-Step Controls
OFDM Signal Flow
Simulation Step Output
Run a simulation to see the step-by-step output here.
Transmitted Constellation
Pre-Channel Spectrum
Post-Channel Spectrum
Channel Delay Response
Channel Frequency Response
Equalized Signal Spectrum
Received Constellation
Instructions
Getting Started: This simulation analyzes the Bit Error Rate (BER) performance of OFDM systems across different Signal-to-Noise Ratio (SNR) values.
Configure OFDM Parameters: Set the length of OFDM data (L) and cyclic prefix length (Ncp) to define your OFDM symbol structure.
Select Modulation: Choose the modulation scheme (BPSK, QPSK, or 16-QAM) to analyze its BER performance characteristics.
Define SNR Range: Set the SNR increment (in dB) to determine the granularity of the performance curve. Smaller increments provide more detailed curves but take longer to compute.
Run BER Simulation: Click "Run BER Simulation" to compute BER values across multiple SNR points using Monte Carlo simulation.
Analyze Performance Curve: Examine the BER vs. SNR plot to understand how error rate decreases as signal quality improves.
Compare Modulations: Run simulations with different modulation schemes to observe the trade-off between spectral efficiency and error performance.
Understand Trade-offs: Higher-order modulations (16-QAM) offer greater data rates but require higher SNR for the same BER compared to lower-order schemes (BPSK).