Signal Detection Based on Energy Detection Method with M2M4 Algorithm Implementation

This paper presents signal detection based on the energy detection method, which utilizes the M2M4 algorithm for noise variance estimation. The M2M4 algorithm is implemented through MATLAB functions that calculate second and fourth-order moments of received signals to estimate noise power dynamically. This widely-used signal processing technique finds applications across multiple domains including communications, radar systems, and radio frequency analysis. Noise variance estimation represents a critical step in signal processing workflows, enabling improved signal interpretation and system performance optimization through accurate background noise characterization. The implementation provides a complete MATLAB simulation environment where users can directly process signals without developing custom algorithms from scratch. The code structure includes modular functions for signal acquisition, energy calculation, and M2M4-based variance estimation, making it a practical tool for accelerating signal processing tasks and enhancing research productivity.