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3D Point Cloud Based Hybrid Maps Reconstruction for Indoor Environments Read chapter Read first chapter

2013 | OriginalPaper | Chapter

80. A New Method of Unknown Radar Signals Sorting

Authors : Xiaofeng Wang, Xuzhou Zhang, Runlan Tian, Xinglong Qi

Published in: Proceedings of 2013 Chinese Intelligent Automation Conference

Publisher: Springer Berlin Heidelberg

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Abstract

Aimed at the problem of worse real-time in the sorting of unknown radar signals, a new signal sorting method based on the DBSCAN is put forward. Using the parameter distribution characteristics of radar pulse data, the method firstly searches a number of reference points to properly represent original data points, and then, make use of their density connected character to cluster the reference points. Because of the decrease of the data involved in clustering, the method overcomes the immense calculated quantities of original algorithm, and enhances the clustering speed of unknown radar signal sorting. Computer simulation results show that the proposed algorithm can effectively sort the unknown radar signals.

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Metadata
Title
A New Method of Unknown Radar Signals Sorting
Authors
Xiaofeng Wang
Xuzhou Zhang
Runlan Tian
Xinglong Qi
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Proceedings of 2013 Chinese Intelligent Automation Conference

Print ISBN: 978-3-642-38465-3

Electronic ISBN: 978-3-642-38466-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-38466-0_80