The 15th IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC)

603 / 2019-03-15 21:04:09

In-band Interference Suppression Method of OFDM Signal Based on Double Sparsity K-SVD Algorithm Joint Dictionary Learning

OFDM signal, double sparsity K-SVD, OMP, joint dictionary

Plenary track > Wireless Communication

To solve the in-band interference suppressi- on problem in complex electromagnetic environment, a novel method of interference suppression for the orthog- gonal frequency division multiplexing (OFDM) signal based on the double sparsity K-singular value decompos- ition (K-SVD) joint dictionary learning is proposed. Firstly, the double sparsity K-SVD algorithm is used to respectively train the atomic dictionary of OFDM signal and the in-band interference. Then, the joint dictionary is constructed by using the weak correlation of OFDM signal and in-band interference. Finally, the in-band interference is reconstructed by using the orthogonal matching pursuit (OMP) algorithm and the interference component is removed from the receiving OFDM signal. The simulation results show that the interference suppr- ession method could largely keep useful information and the double sparsity K-SVD algorithm could also reduce the computational complexity.