Implementation of Sliding Window Detection for Small Targets Under Gaussian Noise
MATLAB implementation of sliding window detection for small targets in Gaussian noise environments. The dataset contains 1000 data points with a window size of 30, shifting one point per iteration. The algorithm squares each of the 30 data points within the window, sums them up, and divides by the window size. Experimental results demonstrate effective radar target signal detection. Key implementation involves using moving window functions and power calculation methods.