基于压缩感知的单通道多频带信号感知技术

Single channel multi-band signal sensing technique based on compressed sensing

压缩感知理论突破了传统Nyquist采样定理的限制,成为近年来研究的热点。传统的压缩采样系统均采用多通道结构,在频率支集未知的情况下能够显著降低采样频率,但是此系统硬件复杂,对通道间的幅相一致性要求较高,系统的稳健性差。提出了一种基于周期非均匀采样的多频带信号感知技术,它是一种基于单通道结构的压缩采样系统,重点解决了传统方法实现时硬件复杂度高、设备要求高的问题。

Compressed sensing theory broke the restraint of traditional Nyquist sampling theorem, and it has become a research hotspot recently. Traditional compressive sampling system adopts multi channel structure, and the sampling frequency can be significantly reduced in the case of unkown frequency set. However, the hardware of this system is complex, the requirement of amplitude and phase consistency between channels is high, and the robustness of the system is poor. A multi-band signal sensing technique is proposed based on periodic nonuniform sampling. It is a compressive sampling system based on single channel structure. And it focuses on solving the problem of high hardware complexity and high equipment requirements when the traditional method is implemented.