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Waveform design for wideband radar target recognition based on eigensubspace projection
Author(s) -
Jiu Bo,
Liu Hongwei,
Chen Bo,
Liu Zheng
Publication year - 2013
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2012.0193
Subject(s) - waveform , computer science , wideband , radar , projection (relational algebra) , artificial intelligence , speech recognition , computer vision , telecommunications , electronic engineering , engineering , algorithm
Transmission waveform design based on the target and the surrounding environment plays an important role in wideband target recognition radar, which could be helpful to enlarge the separation between the received echoes of different targets. However, precise prior knowledge of target–radar orientation is usually difficult to obtain, whereas target impulse response is sensitive to target–radar orientation. Therefore that has become a barrier for the waveform design. In this study, the authors propose an eigensubspace projection‐based method to enlarge the separation between the received echoes of different targets with additive coloured Gaussian noise, after analysing the upper bound on the error probability of multi‐target recognition. Numerical results show that the proposed method is able to improve the recognition rates effectively.

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