1988
DOI: 10.1049/ip-f-1.1988.0042
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FMCW radar for hidden object detection

Abstract: The use of FMCW radar for the detection of hidden objects at short distances is described. The factors which influence the type of radar and the optimum parameters for FMCW radar are discussed. It is shown that FMCW radar is good for situations where a high resolution is needed at a short distance, such as the detection of flaws in building materials. Practical systems are described. Both FFT and nonFourier methods are used for processing the radar returns. Multiple targets hidden in media can be revealed by d… Show more

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Cited by 23 publications
(4 citation statements)
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“…One of the advantages of FMCW radar is its inherent capability of computing the distance as well as the speed of moving object by applying 2‐dimensional fast Fourier transform (FFT) of the FMCW beat frequency . However, in processing FFT, main lobe that obtains the received target signal is not significantly distinguished with side lobe, and thus we reduce the side lobe and amplify the main lobe by applying Hanning window . Then 1‐d FFT is performed to obtain the distance from the target .…”
Section: Experimental Results With Real Fmcw Radarmentioning
confidence: 99%
“…One of the advantages of FMCW radar is its inherent capability of computing the distance as well as the speed of moving object by applying 2‐dimensional fast Fourier transform (FFT) of the FMCW beat frequency . However, in processing FFT, main lobe that obtains the received target signal is not significantly distinguished with side lobe, and thus we reduce the side lobe and amplify the main lobe by applying Hanning window . Then 1‐d FFT is performed to obtain the distance from the target .…”
Section: Experimental Results With Real Fmcw Radarmentioning
confidence: 99%
“…To overcome the bad quality of camera sensors in severe weather or unsatisfied lighting, some prior works [4,6,14,16,[18][19][20] exploit the data from a Frequency Modulated Continuous Wave (FMCW) radar to detect the object more robustly. Considering it is hard to annotate the radar data since a human has less knowledge about what an object like in radar images, previous radar object detection works can be classified into two categories by whether visual data is required during learning.…”
Section: Radar Object Detectionmentioning
confidence: 99%
“…Although pulse radars [48] and FM-CW radars [9,10], among others, can function as subsurface detection radars, currently these are insufficient in terms of target detection capability, detection depth, analytical capability, and so on. In order to overcome these drawbacks, it is necessary to improve the quantity and the quality of the underground information contained in observed signals as well as to establish methods of utilizing such information.…”
Section: Introductionmentioning
confidence: 99%