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Underground Target Objects Detection Simulation Using FMCW Radar with SDR Platform

机译:使用FMCW雷达与SDR平台的地下目标对象检测仿真

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In this paper, the implementation of Frequency Modulated Continuous Wave (FMCW) Radar in Software Defined Radio (SDR) Platform is presented mainly for the purpose of detecting underground targets. The SDR platform used in this research is the National Instruments' (NI) Universal Software Radio Peripheral (USRP?). For the interfacing of the USRP, the software development environment NI LabVIEW? is used. This approach takes advantage of the SDR system's versatility, like changing the waveform characteristics (frequency, transmit and receive gain) on the fly. In the FMCW Radar technique, a ramp signal is frequency modulated which results to a chirp waveform. The researchers developed a signal processing program in LabVIEW to analyze the received chirp signal and correlate it to the reference transmit signal which can then be analyzed and studied the received signal characteristics and behavior on the LabVIEW platform. This implementation can be a platform for designing low cost alternatives to the expensive commercial electromagnetic techniques like Ground Penetrating Radars, Time Domain reflectometers, Electrical resistivity devices, etc. The method presented in this paper is a precursory step of the researchers for developing and modeling cost effective, robust and marketable Underground Target Detection Radar system. Moreover, this paper presents the successful implementation of FMCW using the USRP and proves that target detection of buried objects is plausible using the said device.
机译:本文在软件定义的无线电(SDR)平台中的频率调制连续波(FMCW)雷达的实现主要是为了检测地下目标的目的。本研究中使用的SDR平台是国家仪器(NI)通用软件无线电外围设备(USRP?)。对于USRP的接口,软件开发环境NI LabVIEW 用来。这种方法利用了SDR系统的多功能性,例如在飞行中改变波形特性(频率,传输和接收增益)。在FMCW雷达技术中,斜坡信号是频率调制,其导致啁啾波形。研究人员在LabVIEW中开发了一种信号处理程序,分析所接收的啁啾信号并将其与参考发射信号相关联,然后可以分析和研究LabVIEW平台上的接收信号特性和行为。该实现可以是用于将低成本替代品设计为昂贵的商业电磁技术的平台,如地面穿透雷达,时域反射仪,电阻率,电阻率装置等。本文介绍的方法是开发和建模成本的研究人员的前兆步骤有效,强大,可销售的地下目标检测雷达系统。此外,本文介绍了使用USRP的FMCW成功实现,并证明了使用所述设备的埋地物体的目标检测。

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