Results 181 to 190 of about 17,880 (229)
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Quantum Sensing for Anti-Submarine Warfare
2023 IEEE Integrated STEM Education Conference (ISEC), 2023openaire +3 more sources
Soviet Anti-Submarine Warfare doctrine
The RUSI Journal, 1983SSN nuclear powered attack submarine SSBN nuclear powered ballistic missile submarine SSGN nuclear powered guided missile submarine SLBM submarine launched ballistic missile CVHG Kiev class CHG Mos...
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Synthesizing active anti-submarine warfare sonar data
OCEANS 2019 - Marseille, 2019Use of high–resolution sonars in littoral environments generally result in high false alarm rates both due to false alarm rate inflation and non–Rayleigh reverberation. High false alarm rates may be handled by simply increasing the threshold used in the detection algorithm, but this would also reduce the probability of detecting an actual target ...
Karl Thomas Hjelmervik +4 more
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Anti-Submarine Warfare and Missile Submarines
2020This chapter examines the performance characteristics of nuclear missile-carrying submarines, the various uses this weapons system admits, and the type of hostile action it may encounter during war or during periods of international crisis. It assesses the present and future role of the missile-carrying submarine in the strategic arsenals of the United
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Operational Maneuver and Anti-Submarine Warfare.
1995Abstract : Operational maneuver, one of the principles of operational art, is key to the Navy's doctrine in From the Sea and Forward From the Sea. The objective of operational maneuver is to strike quickly and violently to isolate and frustrate the enemy and destroy their forces and will to fight. The application of operational maneuver can enable U.S.
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Active sonar target tracking for anti-submarine warfare applications
OCEANS'10 IEEE SYDNEY, 2010Tracking potential submarine targets using active sonar is a challenging task, due to the high level of clutter that results in a large number of false alarms. This can potentially overwhelm or critically limit the capabilities of an active sonar tracker.
J. Wang, A. von Trojan, S. Lourey
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