基于调制宽带转换器的倒谱恢复算法

亚奈奎斯特采样主要应用于宽带通信和射频(RF)技术中。目前理论成熟且硬件实现的亚奈奎斯特采样技术有随机解调器和调制宽带转换器。随机解调器主要用于谱线的检测,而调制宽带转换器是用于稀疏多频带信号。调制宽带转换器(MWC)是一种用于获取频域稀疏、时域连续信号的一种亚奈奎斯特采样方法。其平均采样速率要低于奈奎斯特速率。亚奈奎斯特采样是一种全盲采样方法,即在信号采样和信号重构时都是不知道频谱信息和频谱位置。本文提出一种基于调制宽带转换器的时域对偶信号的倒谱恢复算法,能在极小误差(0.0098)范围内完美的恢复出原始信号。

CEPSTRUM RECOVERY ALGORITHM BASED ON THE MODULATED WIDEBAND CONVERTER

The sub-Nyquist sampling is mainly used in wideband communications and radio frequency （RF） technology. Nowadays, the sub-Nyquist sampling which had been mature and implementated in hardware are the random demodulator and the modulated widehand converter. The random demodulator is mainly used to detect spectral lines, while the modulated wideband converter is a subNyquist method for acquiring continuous-time and spectrally sparse signals. The sampling rate of the modulated wideband converter is lower than Nyquist rate. It is a fully blind sampling method, and it doesn＇t need known the information and the location of spectrum when in the sampling stage and the reconstruction stage. This paper describes Cepstrum recovery algorithm of the dual signal based modulated wideband converter, and can perfect recovery of the original signal with a very small error （0. 0098）.