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.