STFT Implementation for Frequency-Hopping Signal Hop Period Estimation with Basic Simulation
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Resource Overview
This project implements hop period estimation for frequency-hopping signals using STFT (Short-Time Fourier Transform). The process involves simulating a frequency-hopping signal, analyzing it through STFT to obtain a time-frequency matrix, extracting the time plane, removing DC components from the time series, performing Fourier transformation, and ultimately calculating the hop period. The implementation includes key signal processing functions such as windowing, spectral analysis, and peak detection algorithms.
Detailed Documentation
The system implements hop period estimation for frequency-hopping signals using STFT. After simulating the frequency-hopping signal, detailed analysis was performed using Short-Time Fourier Transform. By extracting the time plane from the obtained time-frequency matrix and applying DC removal followed by Fourier transformation to the time series, the hop period was successfully calculated. The code implementation typically involves creating overlapping window segments using functions like hamming or hanning windows, computing spectrograms through FFT operations, and applying threshold-based peak detection algorithms to identify dominant frequency components across time frames for period estimation.
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