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Electronic Warfare Signal Processing (Hardcover, Unabridged edition)
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Electronic Warfare Signal Processing (Hardcover, Unabridged edition)
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While previous EW exploited flaws in the analogue equipment to
corrupt or degrade the sensor detection or localisation
capabilities, EW is now an information battle. Modern autonomous
threat sensors can readily detect and locate targets by
incorporating state of the art high speed digital signal processing
(DSP) algorithms that focus on the classification of targets via
target physical features. As a result the autonomous threat has a
significant advantage over attacking forces consisting of armoured
vehicles, aircraft or ships. To elucidate the state of EW, this
book focuses on the example of autonomous anti ship missiles (ASM)
attacking a naval fleet rather than airborne battles, thus filling
a significant gap in the EW literature. It describes modern DSP
algorithms that have been published by ASM development personnel
from several nations, including the People's Republic of China and
the Russian federation and outlines instances where it has been
successfully used against ships. The book elaborates on the
mathematical techniques employed and the advantages of
incorporating digital signal processing algorithms into the
autonomous sensor. With straight forward DSP algorithms, ASM can
rapidly identify and distinguish electronically generated false
targets, passive decoys, chaff and true targets. Moreover, special
sensor waveforms now proactively probe the targets for enhanced
feature measurements, and modern multi-channel optimal DSP readily
mitigates noise jamming.
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