A Cooperative Spectrum Sensing Method Based on Empirical Mode Decomposition and Information Geometry in Complex Electromagnetic Environment

Algorithm 1

The overall process of EMDIGK.

Algorithm: EMDIGK

Input: Sensing signal matrix

Step 1: is denoised by EMD to obtain an matrix

Step 2: Perform ODAR and IDAR on to obtain and , then calculate the corresponding covariance matrix.

Step 3: Extract signal characteristics using information geometry theory to obtain .

Step 4: Construct a training vector set and train the K-medoids clustering algorithm to get Eq. (35)

Step 5: Import the training set and get test result according to Eq. (35)

Step 6: Calculate and by Eq. (3) and Eq. (4)

Output: and