基于压缩感知的频率步进探地雷达成像算法

Stepped-frequency ground penetrating radar imaging algorithm based on compressed sensing

与时域无载频脉冲体制的探地雷达技术相比,频率步进探地雷达(stepped-frequency ground penetratingradar,SFGPR)具有较多优越性,但由于其工作频率是以阶梯方式步进,导致成像速度较慢。提出了一种基于压缩感知(compressive sensing,CS)的频率步进探地雷达成像算法。实验结果表明,基于CS理论构建的CS-SFGPR系统具有数据采集时间短、成像速度快等特点。

Compared to a traditional no-carrier pulse ground penetrating radar,the stepped-frequency ground penetrating radar（SFGPR） has many advantages on detection performance.Since its work frequencies increase in stepped mode,the SFGPR system has low imaging speed.A novel imaging algorithm of the CS-SFGPR system based on compressive sensing（CS） theory is introduced.The experimental results show that the CS-SFGPR system reduces the data collection time and improves imaging speed.