将传统方法中伪随机序列发生器与电光调制器产生的光伪随机信号, 替换为光电振荡器产生的光混沌信号。搭建光电振荡器仿真系统, 产生带宽为30 GHz的光混沌信号, 利用1.25 GHz低速模数转换器, 成功地对0~10 GHz频带内的5个频率随机、幅度随机的频域稀疏信号进行压缩采样和信号重构, 并对混沌光子压缩采样的重构性能与传统方法做出详细比较。仿真结果表明,这种混沌光子压缩采样方法可行, 且其重构概率大于传统方法。

The optical pseudo random signals produced by pseudo random signal generator and electro-optic modulator in traditional photonic-assisted compression sampling method are replaced by optical chaotic signals generated by photoelectric oscillator. The optoelectronic oscillator simulation system is set, and produces optical chaotic signal, whose bandwidth reaches 30 GHz. Based on 1.25 GHz low-speed analog-digital converter, five frequency-random and amplitude-random sparse signals in frequency domain distributed in the 0 to 10 GHz frequency band are compressed, sampled and reconstructed, successfully. At last, a detail comparison on the reconstruction performance between the chaotic photonic compression sampling and traditional methods is shown through numerical simulation. The simulation results show that the former is better than the latter and the chaotic photonic compression sampling method is feasible.