DocumentCode :
1616
Title :
Space–time interference analysis and suppression for airborne passive radar using transmissions of opportunity
Author :
Tan, Danny Kai Pin ; Lesturgie, Marc ; Hongbo Sun ; Yilong Lu
Author_Institution :
Temasek Labs., Nanyang Technol. Univ., Singapore, Singapore
Volume :
8
Issue :
2
fYear :
2014
fDate :
Feb-14
Firstpage :
142
Lastpage :
152
Abstract :
This study presents the space-time snapshot models for the interfering passive signals received by the airborne passive radar which uses a ground-based stationary non-cooperative transmitter. The random range sidelobes couplings of the direct path and of the strong clutter signals into further range cells are major concerns in moving target detection performance. The least squares-based adaptive interference cancellation technique is proposed to efficiently suppress the direct path, strong clutter and Doppler-shifted strong clutter signals present at each antenna element prior to matched filter processing. In mitigating the interfering signals, their corresponding random range sidelobes will also be suppressed by the same amount. Ground-based moving passive radar trials were conducted to validate and ascertain the effectiveness of the proposed adaptive interference cancellation algorithm.
Keywords :
CW radar; Doppler radar; airborne radar; interference suppression; object detection; passive radar; radar antennas; radar clutter; radar imaging; radar transmitters; regression analysis; transmitting antennas; Doppler-shifted strong clutter signals; airborne passive radar; antenna element; direct path suppression; filter processing matching; ground-based moving passive radar; ground-based stationary noncooperative transmitter; least squares-based adaptive interference cancellation technique; moving target detection performance; opportunity transmissions; passive signal interference; random range sidelobe couplings; range cells; space-time interference analysis; space-time interference suppression; space-time snapshot models; strong clutter signals;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2013.0190
Filename :
6746881
Link To Document :
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