Spectrum Sensing Algorithm Based on IQ Decomposition of Random Matrix
Due to improve the number of collaboration users can significantly improve the detection performance of the spectrum sensing algorithm,based on the algorithm of the difference of maximum and minimum eigenvalue proposed a novel spectrum sensing algorithm which is decompose the received signal into I and Q components,and the corresponding algo-rithm decision threshold is introduced.Through the simulation analysis,the number of collaboration users is logically increased by IQ decomposition,and increases the correlation of the signals.Through the simulation analysis under in different SNR and different sampling number,the validity of the novel algorithm is verified and the detection performance is improved.
万方数据
维普
