宽带直扩信号的随机解调压缩采样方法

为了有效解决扩频测控通信系统宽带化带来的高速采样压力和高数据率问题,提出了基于压缩感知的直扩信号随机解调压缩采样方法。通过对模拟信号压缩采样原理进行研究,深入分析和推导随机解调采样原理及其数学模型,提出了基于压缩感知的直扩信号采集系统构架,并对压缩比取值影响因素进行了分析；给出了随机解调压缩采样系统硬件实现方案,并对其可行性进行了分析；最后对所提出的直扩信号压缩采样方法的性能进行了仿真分析。仿真结果表明,压缩采样系统可以实现直扩信号的压缩采样处理,并能够高精度重构原信号,但重构信号的解调门限会随压缩比增大而相应提高,这是采样率降低所需付出的代价。压缩采样为宽带直扩测控通信系统提供了一种高效的模数转换和同步解调处理思路。

Compressive sampling of broadband DS signal based on random demodulation

In view of the high-speed sampling and high data rate pressures which come from broadband of the direct sequence spread spectrum tracking,telemetry and command(DS TT&C) system,a DS signal compressive sampling method based on compressive sensing(CS) is provided. Firstly,the DS signal acquisition system architecture based on CS is proposed. Then,the random demodulation sampling principle and model are analyzed according to analog signal compressive sampling theory,and influence factors of compressive ratio are investigated. Finally,a hardware design for DS signal compressive sampler based on random demodulation is provided,and the feasibility of proposed architecture is explored. The results show that the proposed system can realize the compressive sampling of DS signal,and the original signal can be reconstructed accurately. Moreover,the demodulation threshold of reconstructed signal will increase with compressive ratio,which is the required price for deducing sampling rate. The technology provides a novel analog digital conversion and synchronous demodulation method for DS TT&C system.