摘要
压缩感知理论是现阶段一种较为新颖的信号采集方案,该方案大幅降低了对于信号采集器的要求,同时也降低了信号采集的硬件成本。研究基于稀疏模型、感知矩阵和重构算法三个部分介绍了压缩感知的主要原理,在宽带数字接收机设计中融入压缩感知理论,并基于调制带宽转换器(MWC)结构以较小的采样率实现宽带接收机的高速率信号采样。最终以仿真实验的方式来验证该方案的有效性。
The compressed sensing theory is a relatively new signal acquisition scheme at this stage. This scheme greatly reduces the requirements for the signal collector, and also reduces the hardware cost of signal acquisition. Based on the sparse model, sensing matrix and reconstruction algorithm, this research introduces the main principle of compressed sensing in detail, integrates the compressed sensing theory into the design of broadband digital receiver, and realizes the high-speed signal sampling of broadband receiver with small sampling rate based on the structure of modulation bandwidth converter(MWC). Finally, the effectiveness of the scheme is verified by simulation experiments.
作者
杨凡
YANG Fan(Guangdong women's Polytechnic College,Guangzhou 511450,China)
出处
《安阳工学院学报》
2022年第6期83-87,共5页
Journal of Anyang Institute of Technology
关键词
数字接收机
压缩采样
调制带宽转换器
digital receiver
compressed sampling
modulation bandwidth converter
