Millimeter wave FMCW radar for Foreign object debris (FOD) detection at airport runways

Mehdi, Ghulam; Miao, Jungang

doi:10.1109/ibcast.2012.6177589

Cited by 26 publications

(10 citation statements)

References 8 publications

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“…Considering the huge losses caused by FOD, radar-based FOD detection deserves more attention, due to its many advantages at all times and under all weather conditions [ 2 , 3 , 4 ]. Compared with infrared, laser, TV, and other optical sensors, millimeter-wave radar has a stronger ability to penetrate fog, smoke, and dust, while having the characteristics of high spatial resolution [ 5 , 6 , 7 , 8 ]. Therefore, millimeter-wave radar techniques for detecting FOD have become a research hot spot.…”

Section: Introductionmentioning

confidence: 99%

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Wan

Liang

et al. 2021

Sensors

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Using millimeter-wave radar to scan and detect small foreign object debris (FOD) on an airport runway surface is a popular solution in civil aviation safety. Since it is impossible to completely eliminate the interference reflections arising from strongly scattering targets or non-homogeneous clutter after clutter cancellation processing, the consequent high false alarm probability has become a key problem to be solved. In this article, we propose a new FOD detection method for interference suppression and false alarm reduction based on an iterative adaptive approach (IAA) algorithm, which is a non-parametric, weighted least squares-based iterative adaptive processing approach that can provide super-resolution capability. Specifically, we first obtain coarse FOD target information by data preprocessing in a conventional detection method. Then, a refined data processing step is conducted based on the IAA algorithm in the azimuth direction. Finally, multiple pieces of information from the two steps above are used to comprehensively distinguish false alarms by fusion processing; thus, we can acquire accurate FOD target information. Real airport data measured by a 93 GHz radar are used to validate the proposed method. Experimental results of the test scene, which include golf balls with a diameter of 43 mm, were placed about 300 m away from radar, which show that the proposed method can effectively reduce the number of false alarms when compared with a traditional FOD detection method. Although metal balls with a diameter of 50 mm were placed about 660 m away from radar, they also can obtain up to 2.2 times azimuth super-resolution capability.

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Section: Introductionmentioning

confidence: 99%

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Wan

Liang

et al. 2021

Sensors

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“…High-performance imaging with quick response is required for the detection of small objects on large-scale infrastructure. Recently, various types of FOD detection systems have been proposed using high-resolution video cameras [1] and high-frequency radars [2][3][4], etc. Lidar can be used for high-resolution imaging [5].…”

Section: Introductionmentioning

confidence: 99%

Photonic Systems and Devices for Linear Cell Radar

et al. 2019

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This paper reviews linear cell radar systems, which are radar systems consisting of many antenna units connected by radio-over-fiber to monitor linear-shaped areas. A linear cell system using a millimeter-wave band can provide high-resolution imaging for foreign object detection on runways. Electro-optic devices play important roles in linear cell systems to provide a conversion between optical and electric signals. This paper describes overviews of such devices including light sources, photodetectors, and optical modulators, etc.

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“…Some other ideas have concerned environment sensing for intelligent sample selection [39,40] to analyze rather than estimate the clutter covariance by samples. But these STAPs demand exact backscattering coefficients and high resolution cells, with the support of real scene topography [41,42], digital elevation model data [43], hyper-spectral remote sensing images [44] and so on.…”

Section: Introductionmentioning

confidence: 99%

A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways

Yang

Huang

Zhang

et al. 2019

Sensors

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Security risks and economic losses of civil aviation caused by Foreign Object Debris (FOD) have increased rapidly. Synthetic Aperture Radars (SARs) with high resolutions potentially have the capability to detect FODs on the runways, but the target echo is hard to be distinguished from strong clutter. This paper proposes a clutter-analysis-based Space-time Adaptive Processing (STAP) method in order to obtain effective clutter suppression and moving FOD indication, under inhomogeneous clutter background. Specifically, we first divide the radar coverage into equal scattering cells in the rectangular coordinates system rather than the polar ones. We then measure normalized RCSs within the X-band and employ the acquired results to modify the parameters of traditional models. Finally, we describe the clutter expressions as responses of the scattering cells in space and time domain to obtain the theoretical clutter covariance. Experimental results at 10 GHz show that FODs with a reflection higher than −30 dBsm can be effectively detected by a Linear Constraint Minimum Variance (LCMV) filter in azimuth when the noise is −60 dBm. It is also validated to indicate a −40 dBsm target in Doppler. Our approach can obtain effective clutter suppression 60dB deeper than the training-sample-coupled STAP under the same conditions.

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Millimeter wave FMCW radar for Foreign object debris (FOD) detection at airport runways

Cited by 26 publications

References 8 publications

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Photonic Systems and Devices for Linear Cell Radar

A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways

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