https://github.com/kmoraza/am_simulation_software
Software zur Simulation der Amplitudenmodulation (Amplitude Modulation Simulation Software)
https://github.com/kmoraza/am_simulation_software
amplitude-modulation communication-engineering communication-systems physics simulation simulation-software simulation-softwares simulations simulator simulators
Last synced: 6 months ago
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Software zur Simulation der Amplitudenmodulation (Amplitude Modulation Simulation Software)
- Host: GitHub
- URL: https://github.com/kmoraza/am_simulation_software
- Owner: KMORaza
- Created: 2025-06-02T18:06:04.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-06-03T10:00:33.000Z (9 months ago)
- Last Synced: 2025-06-03T10:02:19.951Z (9 months ago)
- Topics: amplitude-modulation, communication-engineering, communication-systems, physics, simulation, simulation-software, simulation-softwares, simulations, simulator, simulators
- Language: Java
- Homepage:
- Size: 5.46 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Software zur Simulation der Amplitudenmodulation (Amplitude Modulation Simulation Software)
Software zur Simulation der Amplitudenmodulation, geschrieben in Java (This software simulates amplitude modulation and is written in Java)
## Functioning Logic
The software simulates AM signals, processes them through modulation, demodulation, and analysis, and supports time- and frequency-domain operations.
- **Signal Representation**:
- Stores time array, message, carrier, modulated, demodulated signals, and frequency spectrum.
- Uses high sampling rate (e.g., 44.1 kHz) for digital accuracy.
- Manages data for all AM variants.
- **Signal Processing**:
- Executes modulation, demodulation, noise addition, and spectrum computation.
- Dynamically updates signals based on parameters (e.g., message frequency fm, carrier frequency fc, modulation index m).
- Applies digital filters for demodulation and variant-specific processing.
- **Visualization**:
- Plots time-domain signals (message, carrier, modulated, demodulated).
- Computes frequency-domain spectra via Fast Fourier Transform (FFT).
- Supports real-time signal animation and dynamic spectrum updates.
- **Analysis**:
- Calculates Total Harmonic Distortion (THD) from harmonic peaks in FFT spectrum.
- Computes Signal-to-Noise Ratio (SNR) by comparing signal and noise power.
- Visualizes harmonics and noise in frequency plots.
- **Data Export**:
- Exports signal data to CSV files for external use.
The software is modular, with components handling signal generation, processing, and analysis.
## Simulation and Modeling
The software models AM signals in time and frequency domains, simulating realistic signal behavior. Key aspects are:
- **Time-Domain Simulation**:
- **Signal Generation**:
- Message: `m(t) = Am * sin(2 * pi * fm * t)`, with amplitude `Am`, frequency `fm`.
- Carrier: `c(t) = Ac * cos(2 * pi * fc * t)`, with amplitude `Ac`, frequency `fc`.
- **Modulation**:
- DSB-AM: `s(t) = Ac * [1 + m * m(t)] * cos(2 * pi * fc * t)`, `m` is modulation index.
- DSB-SC: `s(t) = Ac * m(t) * cos(2 * pi * fc * t)`, no carrier.
- SSB: Transmits one sideband (upper/lower).
- VSB: One sideband plus partial other sideband.
- QAM: Two signals on orthogonal carriers.
- **Demodulation**:
- Envelope detection: Rectify and low-pass filter.
- Coherent detection: Multiply with carrier, then filter.
- **Animation**: Updates plots at ~60 FPS for continuous signal simulation.
- **Frequency-Domain Simulation**:
- **Spectrum**:
- FFT transforms signals to show peaks at `fm`, `fc`, and sidebands `(fc ± fm)`.
- **Dynamic Updates**:
- Spectra adjust in real-time with parameter changes.
- **Filtering**:
- Low-pass for demodulation, band-pass for SSB/VSB.
- **Modeling**:
- Discrete-time signals with sampling frequency `fs >> 2 * (fc + fm)`.
- Noise as additive white Gaussian noise (AWGN) with adjustable amplitude.
- **Variants**:
- DSB-AM: Carrier + sidebands.
- DSB-SC: Sidebands only.
- SSB: Single sideband.
- VSB: Sideband + vestige.
- QAM: Quadrature modulation.
## Utilization of Algorithms
- **Fast Fourier Transform (FFT)**:
- Purpose: Generates frequency spectra for visualization, THD, SNR.
- Algorithm: Cooley-Tukey FFT, O(N log N) complexity.
- Used in: `SpectrumAnalysisFFT`, `TotalHarmonicDistortion`.
- **Digital Filtering**:
- Low-pass: Removes high frequencies in demodulation (e.g., Butterworth).
- Band-pass: Isolates sidebands in SSB/VSB.
- Algorithm: FIR or IIR filters via DSP methods.
- **Modulation/Demodulation**:
- Modulation: Time-domain multiplication per AM equations.
- Demodulation: Envelope (rectify + filter) or coherent (carrier multiply + filter).
- Algorithm: Optimized for real-time processing.
- **Noise Generation**:
- AWGN via Gaussian random numbers.
- Algorithm: Box-Muller transform.
- Purpose: Channel noise for SNR.
- **THD Calculation**:
- Formula: `THD = sqrt(V2^2 + V3^2 + ... + Vn^2) / V1`, `V1` is fundamental, `V2-Vn` are harmonics.
- Algorithm: Peak detection in FFT, power summation.
- **SNR Calculation**:
- Formula: `SNR = 10 * log10(Psignal / Pnoise)`, `Psignal` and `Pnoise` from frequency bands.
- Algorithm: Power integration in FFT spectrum.
- **Animation**:
- Incremental signal updates at 16 ms intervals (~60 FPS).
- Algorithm: Efficient signal computation and rendering.
## Physics Models
- **AM Signal**:
- Carrier amplitude varies with message.
- DSB-AM: `s(t) = Ac * [1 + m * cos(2 * pi * fm * t)] * cos(2 * pi * fc * t)`.
- Spectrum: Peaks at `fc`, `fc ± fm`.
- **Signals**:
- Message: `m(t) = Am * sin(2 * pi * fm * t)`, e.g., `fm = 1 kHz`.
- Carrier: `c(t) = Ac * cos(2 * pi * fc * t)`, e.g., `fc = 10 kHz`.
- Physics: Electromagnetic wave modulation.
- **Noise**:
- AWGN models thermal noise, zero mean, variable variance.
- Physics: Random signal fluctuations.
- **Demodulation**:
- Envelope: Rectification + filtering.
- Coherent: Carrier synchronization + filtering.
- Physics: Baseband signal recovery.
- **Spectrum**:
- Power distribution across frequencies.
- Physics: Fourier decomposition into sinusoids.
- **THD**:
- Measures distortion from harmonics.
- Physics: Nonlinear effects at integer multiples of fundamental.
- **SNR**:
- Signal quality vs. noise.
- Physics: Power ratio for communication performance.
## Screenshots
