access icon openaccess Applicable STAP for moving FOD detection

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 25/02/2019, Accepted 08/05/2019, Published 13/08/2019

Serious security risks and economic losses have increased rapidly under the threat of foreign object debris. Most detection methods employing optical devices are limited in severe weather for low visibility. This study proposes an applicable approach for moving foreign object debris on the basis of space-time adaptive processing. The geometrical model of an airport is introduced whereby the runway and lawn are divided into clutter cells. After calculating the complex amplitude of clutter in each cell, the authors employ the minimum variance power spectrum and degrees of freedom to describe the ground clutter characteristics. Then the space-time filter is designed under the linearly constrained minimum variance criterion to suppress the clutter and detects the moving target. Simulations show that the errors in azimuth and Doppler are both less than −15 dB when SCNR = −20 dB.

Inspec keywords: filtering theory; object detection; airborne radar; space-time adaptive processing; airports; radar clutter; radar signal processing

Other keywords: optical devices; detection methods; economic losses; noise figure -20.0 dB; serious security risks; clutter cells; low visibility; moving target; FOD detection; applicable STAP; noise figure -15.0 dB; space-time adaptive processing; lawn; minimum variance power spectrum; foreign object debris; applicable approach; space-time filter; ground clutter characteristics; severe weather; runway; geometrical model; linearly constrained minimum variance criterion

Subjects: Radar equipment, systems and applications; Optical, image and video signal processing; Filtering methods in signal processing

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