Applicable STAP for moving FOD detection

Abstract

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.

Keywords

• airports
• space-time adaptive processing
• object detection
• airborne radar
• filtering theory
• radar signal processing
• radar clutter
• applicable stap
• fod detection
• serious security risks
• economic losses
• foreign object debris
• detection methods
• optical devices
• severe weather
• low visibility
• applicable approach
• space-time adaptive processing
• geometrical model
• runway
• lawn
• clutter cells
• minimum variance power spectrum
• ground clutter characteristics
• space-time filter
• linearly constrained minimum variance criterion
• moving target
• noise figure -15.0 db
• noise figure -20.0 db