A Method of Space-frequency Compressed Sensing on Wideband Spectrum Detection
Wang Wei-gang①② Yang Zhen① Hu Hai-feng③
①(Key Laboratory of “Wideband Wireless Communication and Sensor Network Technology”, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) ②(College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) ③(National Mobile Communications Research Laboratory, Southeast University, Nanjing 210008, China)
Abstract：Compressed Sensing (CS) technology paves the way for quick wideband spectrum detection and the WSN based on CS can provide Cognitive Radio (CR) users with the spectrum information. For the spectrum data detected in WSN, a two-dimensional compression Space-Frequency Compressed Sensing (SFCS) model is established in the space and frequency domain, and the corresponding algorithm for reconstruction is proposed and the performance of SFCS is analyzed. The simulation results show that SFCS needs less transmitted data than the traditional model on the same detection probability and the performance of Receiver Operating Characteristic (ROC) in the algorithm is better than that of traditional method on the same total compressed rate.
王韦刚, 杨震, 胡海峰. 一种宽带频谱检测的空域频域压缩感知方法[J]. 电子与信息学报, 2013, 35(2): 255-260.
Wang Wei-Gang, Yang Zhen, Hu Hai-Feng. A Method of Space-frequency Compressed Sensing on Wideband Spectrum Detection. , 2013, 35(2): 255-260.
2013, Vol. 35 
