多通道混沌调制模拟-信息转换

为了降低混沌调制中采样通道的采样速率，该文提出一种多通道混沌调制模拟-信息转换结构。该结构通过采样参数调制混沌系统的多个状态输出作为压缩测量，可实现在总采样速率不变的情况下降低每个采样通道的采样速率。与混沌调制相比，多通道混沌调制增加了低速采样单元的个数，但显著提高了高稀疏度信号的重构性能。基于混沌脉冲同步理论，该文给出了多通道混沌调制结构的信号可重构条件与被采样状态变量选择方法。以Lorenz系统为例，仿真验证了多通道混沌调制结构的有效性。

Multi-channel Chaotic Modulation for Analog-to-information Conversion

To reduce the sampling rate in chaotic modulation, this paper proposes a multi-channel chaotic modulation Analog-to-Information Conversion (AIC) structure. The proposed structure samples multiple-channel state outputs of parameter-modulation chaotic system to obtain compressed measurements and reduces the sampling rate of each sampling channel with total sampling rate unchanged. In comparison with chaotic modulation, the new structure increases the number of sampling units, but greatly enhances the reconstruction performance of the high-sparsity signals. According to chaotic impulsive synchronization theory, the reconstruction condition is developed and the method to select the sampled system states is supplied. The Lorenz system is taken an example to study the reconstruction performance of frequency-sparse signals. Numerical simulations illustrate the effectiveness of the proposed AIC structure.