摘要
传统的超宽带跳频信号的接收受奈奎斯特采样定理的限制,所需采样率高,数据量大,给采样、存储和传输都带来极大压力。把压缩感知理论应用于宽带跳频信号采集中,利用宽带调制转换器降低信号采样频率,再结合稀疏信号重构算法将宽带跳频信号以很高的概率重构。仿真结果表明,一定信噪比下,能以远低于奈奎斯特采样率的A/D速率实现对宽带高速跳频信号的欠采样并重构原始信号。
Traditional wideband frequency-hopping（ HF） signal sampling needs high sampling rate and large amount of data due to the restriction of Shannon sampling theory,which results in much pressure for sampling,storage and transmission. In this paper,compressed sensing theory is applied in HF signal acquisition. The modulated wideband converter（ MWC） is adopted to reduce the sampling rate effectively,and then the wideband HF signals are perfectly reconstructed by the technique of sparse signal reconstruction. The simulation results indicate that this method can sample wideband HF signals with an A / D rate much lower than Nyquist sample rate,and the sparse signal can be reconstructed under the condition of enough SNR.
出处
《无线电工程》
2015年第3期34-36,44,共4页
Radio Engineering
基金
国家部委基金资助项目
关键词
压缩感知
宽带
欠采样
跳频
compressed sensing
wideband
sub-Nyquist sampling
frequency hopping
