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本文利用频带宽度先验信息,提出一种面向信息带宽的自适应调制宽带转换器结构.该结构的总采样率为信号信息带宽的四倍,远小于信号的奈奎斯特采样频率,从而更有效利用采样资源,降低采样数据量,提高处理实时性.通过对该结构中随机波形函数周期的选择,可以实现对系统采样率和系统物理实现复杂度的权衡取舍,从而适应不同场合中的应用.本文通过理论分析给出了该结构实现信号精确重构的充分条件.引入多重信号分类算法,分析了该结构适用此算法的充分条件.本文通过仿真实验对上述分析进行了有效性验证.该系统可以应用于隐形装备的吸波材料的前端特性分析、认知无线电的频谱感知.
In this paper, an adaptive modulation wideband converter structure for information bandwidth is proposed by using the prior information of the bandwidth, and the total sampling rate of the structure is four times of the signal information bandwidth, far less than the Nyquist sampling frequency of the signal Effectively using sampling resources, reducing the amount of sampling data and improving the real-time processing.Through the selection of the period of random waveform function in this structure, we can make the trade-off between the sampling rate of the system and the complexity of the physical system of the system to adapt to the application in different occasions In this paper, we give the sufficient conditions for the signal to be accurately reconstructed by the theoretical analysis, introduce the multiple signal classification algorithm, and analyze the sufficient conditions for the application of this algorithm. The validity of the above analysis is verified by simulation experiments. The system can be applied to the analysis of front-end characteristics of stealth equipment absorbing materials and cognitive radio spectrum sensing.