Stochastic-constraints method in nonstationary hot-clutter cancellation. I. Fundamentals and supervised training applications

This paper considers the use of spatio-temporal adaptive array processing in over-the-horizon radar (OTHR) and airborne radar applications in order to remove nonstationary multipath interference, known as "hot clutter". Since the spatio-temporal properties of hot clutter cannot be assumed...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 1998-10, Vol.34 (4), p.1271-1292
Main Authors: Abramovich, Y.I., Spencer, N.K., Anderson, S.J., Gorokhov, A.Y.
Format: Article
Language:English
Subjects:
Airborne radar
Antenna arrays
Australia
Clutter
Covariance matrix
Directive antennas
Jamming
Nonlinear filters
Receiving antennas
Sensor arrays
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper considers the use of spatio-temporal adaptive array processing in over-the-horizon radar (OTHR) and airborne radar applications in order to remove nonstationary multipath interference, known as "hot clutter". Since the spatio-temporal properties of hot clutter cannot be assumed constant over the coherent processing interval (CPI), conventional adaptive techniques fail to provide effective hot-clutter mitigation without simultaneously degrading the properties of the backscattered radar signals, known as "cold clutter". The approach presented incorporates multiple "stochastic" (data-dependent) constraints to achieve effective hot-clutter suppression, while maintaining distortionless output cold-clutter post-processing stationarity.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.722714