Compressive Sensing Detection of RF Signals by All-Optically Generated Binary Random Patterns

Ning Jing, Chaitanya K. Mididoddi, Chao Wang
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Abstract

High-speed random bit sequences are crucially important in temporal compressive sensing applications. In this work, we propose a new all-optical binary random patterns generation method for compressive sensing, completely eliminating the use of high-speed electronic circuits. This approach uses photonic time stretched optical pulses as the optical carrier. Spectrum slicing using a tunable ring resonator produces a train of uniformly spaced optical pulses (bits) due to spectrum-to-time mapping in photonic time stretch. Two cascaded dispersive devices with particularly designed nonlinear dispersion profiles are employed to introduce random time delays among optical pulses, leading to a quasi-random binary sequence. The random sampling pulse sequence can be updated by changing the free-spectral range of the ring resonator. The proposed method is verified by numerical simulations. The photonic generated random pulse sequences are used in compressive sensing detection of high-frequency RF signals. In a proof-of-concept demonstration, one-tone and multi-tone microwave signals are successfully reconstructed from four-time compressed measurement data.
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基于全光生成二进制随机模式的射频信号压缩感知检测
高速随机比特序列在时间压缩感知应用中至关重要。在这项工作中,我们提出了一种新的全光学二进制随机模式生成方法,用于压缩感知,完全消除了高速电子电路的使用。该方法利用光子时间拉伸光脉冲作为光载体。利用可调谐环形谐振器进行频谱切片,由于在光子时间拉伸中光谱与时间的映射,产生了一列均匀间隔的光脉冲(位)。采用两个具有特殊设计的非线性色散分布的级联色散器件在光脉冲中引入随机时间延迟,从而产生准随机二值序列。通过改变环形谐振器的自由光谱范围,可以更新随机采样脉冲序列。数值仿真验证了该方法的有效性。将光子产生的随机脉冲序列用于高频射频信号的压缩感知检测。在概念验证演示中,从四次压缩的测量数据中成功重建了单音和多音微波信号。
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