Online Pulse Deinterleaving With Finite Automata
نویسندگان
چکیده
منابع مشابه
Deinterleaving Radar Pulse Trains Using Neural Networks
All known time of arrival (TOA) deinterleaving algorithms have great diiculty separating interleaved radar pulse trains when two or more of the trains are significantly jittered. Such scenarios tend to lead to overwhelming ambiguity and fragmentation diiculties when using traditional techniques. In this report we propose a modiied sequence search technique combined with a novel recursive neural...
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Pulse trains from a number of different sources are often received on the one communication channel. It is then of interest to identify which pulses are from which source, based on different source characteristics. This sorting task is termed deinterleaving. In this paper we next propose time-domain techniques for deinterleaving pulse trains from a finite number of periodic sources based on the...
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Some signals, such as in radar systems, communication systems, and neural systems, are transmitted as periodic pulse trains. If more than one pulse train is transmitted over the same communication channel, a challenge is to separate them for source identification at the receiver. This is known as pulse train deinterleaving and is clearly a fundamental problem in the study of discrete-event syst...
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 2020
ISSN: 0018-9251,1557-9603,2371-9877
DOI: 10.1109/taes.2019.2925447