Energy Detection Algorithm
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Resource Overview
In Cognitive Radio (CR) networks, energy detection serves as the most fundamental and critical component. This program implements the energy detection algorithm with threshold-based signal identification and noise power estimation.
Detailed Documentation
In Cognitive Radio (CR) networks, energy detection constitutes the most fundamental and vital stage. As a primary detection method in wireless communications, energy detection identifies the presence of primary signals by measuring energy levels within communication channels. The core principle involves comparing received signal energy against local noise estimates - if the received signal's energy exceeds the noise threshold, the algorithm confirms primary signal presence. This implementation computes energy metrics using Fast Fourier Transform (FFT) operations and incorporates adaptive threshold calibration to account for dynamic noise conditions. The program effectively identifies primary signals through real-time channel energy monitoring, ensuring robust wireless communication quality and reliability through statistical signal processing techniques.
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