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Performance analysis of natural frequency‐based multiple radar target recognition for multiple‐input–multiple‐output radar application
Author(s) -
Lee JoonHo,
Jeong SoHee,
Park GunSu,
Lee YoungChul,
Cho SungWoo
Publication year - 2014
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.2012.0352
Subject(s) - radar , computer science , multistatic radar , radar lock on , continuous wave radar , bistatic radar , low probability of intercept radar , radar engineering details , monte carlo method , algorithm , range (aeronautics) , fire control radar , space time adaptive processing , radar imaging , remote sensing , artificial intelligence , mathematics , telecommunications , engineering , statistics , geography , aerospace engineering
In this study, the authors propose an analytic performance analysis applicable to the case that there are multiple radar responses from distinct radar targets at resonance frequency range. Multistatic radar can employ multiple receivers, which are usually located far away enough not to simultaneously receive the response from the same target. It is assumed that the authors receive returns from M distinct radar targets. In this study, they assume that each receiver receives only one target response, which is reasonable assumption for the multistatic receivers which are separated enough not to receive the same target response together. Using the projections of all the M target responses onto the column space associated with the specific k th radar target, they try to recognise which radar target response is from the k th radar. The derived expressions are validated by comparing the results obtained from the derived expressions with the results from the Monte Carlo simulation.

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