LIMITATIONS OF SYNTHETIC APERTURE RADAR RECONSTRUCTION OF FALSE TARGETS VIA DECEPTIVE JAMMING SIGNALS
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Authors
Ito, Yuki
Subjects
synthetic aperture radar
SAR
digital radio frequency memory
DRFM
deception
linear frequency modulation
LFM
information warfare
IW
electromagnetic warfare
EW
false targets
range stacking algorithm
RSA
electronic attack
EA
SAR
digital radio frequency memory
DRFM
deception
linear frequency modulation
LFM
information warfare
IW
electromagnetic warfare
EW
false targets
range stacking algorithm
RSA
electronic attack
EA
Advisors
Garren, David A.
Date of Issue
2024-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This research employs MATLAB to explore the limitations of deceptive electromagnetic warfare (EW) operations for injecting false targets against synthetic aperture radar (SAR) systems. Military SAR systems utilizing spotlight mode are an effective way of determining location and identification of targets; thus, the demand for jamming SAR by electronic attack (EA) is high. Deceiving a SAR system by convolving false target’s data with intercepted signals through digital radio frequency memory (DRFM) in near real-time has been studied and simulated with an assumption of perfect knowledge of a target system. However, the accurate estimation of intrinsic parameters is difficult because intercepted waveforms include little clue of intrinsic parameters; therefore, we establish restricted environment simulations to clarify the conditions of successful reconstruction of false targets and to determine the key intrinsic parameters for the SAR image formation via the range stack algorithm featuring error-free truncation, approximation, and non-interpolation. The results show that the preconfigured size of the target scene and synthetic aperture parameters are critical. Furthermore, deceptive jamming can be challenging due to the difficulty of estimating intrinsic parameters, and unique noise shapes reconstructed by corrupted false targets may alert adversaries under jammed conditions. Further studies by other algorithms and investigations of processed signals in the system are deferred.
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Thesis
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Distribution Statement A. Approved for public release: Distribution is unlimited.
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