Neurale Netwerken en Radarsystemen (Neural Networks and Radar Systems)

In modern scenarios an extensive use is made of high performance radar systems. To evaluate the data of this kind of radar systems, it is necessary to use automatic real-time signal processing. Because of the ever increasing threat (stealth, jamming, objects flying at high speed), algorithms and arc...

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Bibliographic Details
Main Author: Borgers, H J
Format: Report
Language:English
Subjects:
Active & Passive Radar Detection & Equipment
ALGORITHMS
AUTOMATIC
COMPUTER PROGRAMS
CORRELATION
Cybernetics
DUTCH LANGUAGE
FLIGHT
JAMMING
NETHERLANDS
NEURAL NETS
OPTICAL DATA
RADAR EQUIPMENT
RADAR SIGNALS
RATES
REAL TIME
SIGNAL PROCESSING
SIMULATION
THEORY
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Summary:In modern scenarios an extensive use is made of high performance radar systems. To evaluate the data of this kind of radar systems, it is necessary to use automatic real-time signal processing. Because of the ever increasing threat (stealth, jamming, objects flying at high speed), algorithms and architectures that are currently in use, do not meet the requirements of future radar systems. Real time signal processing is possible for at least visual data. This capability has urged researchers in many different areas to investigate the principles of neural networks. The radar group explored the application of neural networks in radar signal processing. The main goals were to summarize the literature on neural networks, to develop a flexible tools for implementing these networks in software and to perform several relevant simulations. As part of the results of this research, this report describes the fundamentals of neural network theory and shows a number of ways in which neural networks can be used to process radar signals. From the analysis and the simulation results can be concluded that the processing speed and the ability to train the networks with higher order correlations, are the main reasons to proceed with the research program. Netherlands; Dutch language. (jhd) Text in Dutch, summary in English.