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2020 | OriginalPaper | Chapter

Non-uniformity Detection Method Based on Space-Time Autoregressive

Author : Ying Lu

Published in: 2nd EAI International Conference on Robotic Sensor Networks

Publisher: Springer International Publishing

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Abstract

The inhomogeneous phenomena of nonhomogeneity of clutter power, interference target and isolated interference are always coexisting in the real environment of airborne radar. Therefore research on new inhomogeneous detection methods applied to the case of coexisting several inhomogeneous phenomena has become an important subject in the field of research on radar signal detection technology. The new combined space-time autoregressive (STAR) algorithm is proposed for suppressing all three kinds of inhomogeneous phenomena, while the existing STAR algorithms have no capacity, and the proposed algorithm can suppress all three kinds of inhomogeneous phenomena effectively that is indicated in the results of simulation. The simulation results show the effectiveness of the proposed algorithm.

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Metadata
Title
Non-uniformity Detection Method Based on Space-Time Autoregressive
Author
Ying Lu
Copyright Year
2020
Book
2nd EAI International Conference on Robotic Sensor Networks

Print ISBN: 978-3-030-17762-1

Electronic ISBN: 978-3-030-17763-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-17763-8_15