Novel Compressed Sensing Algorithm Based on Modulation Classification and Symbol Rate Recognition
作者: Yifan ZhangXuan FuQixun ZhangXiaomin Liu
作者单位: 1Beijing University of Posts and Telecommunications
刊名: Wireless Personal Communications, 2015, Vol.80 (4), pp.1717-1732
来源数据库: Springer Journal
DOI: 10.1007/s11277-014-2109-0
关键词: Cognitive radioCompressed sensingCyclostationary detectionWavelet transformModulation classificationSymbol rate recognition
英文摘要: Abstract(#br)In the complex and changing radio environment, how to achieve the fast and accurate spectrum sensing over an ultra-wide bandwidth is a big challenge. A novel compressed sensing algorithm based on modulation classification and symbol rate recognition is proposed by using the minimal sampling rate to detect spectrum holes. It is more efficient than the Nyquist sampling rate and traditional compressed sampling rate, which requires the reconstruction of the original signal. Simulation results show that it can further decrease the compressed sampling rate depending on the relation between compression ratio with modulation scheme and symbol rate. Furthermore, in order to improve the accuracy of modulation classification and symbol rate recognition, a compressed sensing and wavelet...
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影响因子:0.428 (2012)

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