中文摘要：

短时且频率未知的无线电作弊信号的捕捉是考试无线电保障工作的重要内容和难点,将压缩感知理论应用到无线电作弊信号捕捉中能够提供高效的解决方案。针对宽频带上稀疏分布的作弊信号场景设计了一种基于压缩感知理论的作弊信号捕捉算法,并通过实验室环境下无线电作弊场景的构建和频谱信息采集,利用Matlab仿真平台对采集到的信号信息进行了仿真验证。结果表明,所提出的算法能够在采样率比传统DFT算法降低1-2个数量级条件下实现对多个未知载频突发信号进行快速、准确地捕捉,充分证明所研究的基于压缩感知的无线电作弊信号发现算法的有效性。

英文摘要：

Short duration and frequency-unknown radio cheating signal capture is an important but difficult task,and compressed sensing theory can provide efficient solutions. First an efficient algorithm that could identify suspicious signals from wide frequency band is designed based on compressive sensing theory. Then an experimental circuit is built to simulate the radio cheat scene and collect spectral information. Finally the algorithm is tested under Matlab platform. The results show that the algorithm could accurately capture suspicious signal with a sampling rate reduction of 1 - 2 order of magnitude compared with common methods,which demonstrates the validity of the use of compressed sensing theory under radio cheating signals found.