| 摘要: |
| 针对测控通信信号接收端存在数据大量冗余的问题，利用标准测控信号在频域上的稀疏性，采用压缩感知的理论进行前期处理。分别考虑了只存在测距音、只存在遥测信号和两类信号都存在等三种条件下的信号处理问题。通过改变稀疏度的大小，可以在不影响解调性能的条件下，大幅度降低接收端所需要的采样率，并且达到消除系统中不需要的谐波的目的。仿真验证了方法的有效性，同时说明利用压缩感知技术，将为测控通信系统的射频直接采样和处理提供一种高效的方式。 |
| 关键词: 测控通信系统 标准测控体制 压缩感知 频域稀疏 OMP算法 |
| DOI： |
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| 基金项目: |
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| A TT&C signal processing method based on compressed sensing |
| HUANG Ling |
| () |
| Abstract: |
| In TT&C signal processing,the received data is always redundant.To solve this problem,a method based on compressed sensing(CS) is proposed by efficiently using the sparsity of TT&C signal. Three conditons of signal processing are considered,including only range measurement signal existing,only data signal existing and both of them existing. As the change of sparsity degree,the sampling rate is greatly reduced without influencing the demodulation performance,at the same time,some unused harmonic is eliminated from the whole system. The efficiency of the method is verified by simulations.The result implies that compressed sensing provides an efficient way for RF sampling and processing in TT&C system. |
| Key words: TT&C and communication system standard TT&C;compressed sensing frequency domain sparsity OMP algorithm |
《电讯技术》编辑部 