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Fuzzy multipath filter with Kalman algorithm for tracking a low‐altitude target
Author(s) -
Chen Yee Ming,
Wang WenShiang
Publication year - 2009
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.107
Subject(s) - multipath propagation , computer science , kalman filter , tracking (education) , fuzzy logic , algorithm , waveform , filter (signal processing) , radar , radar tracker , computer vision , artificial intelligence , control theory (sociology) , telecommunications , control (management) , psychology , pedagogy , channel (broadcasting)
To process tracking low‐altitude targets with multipath propagation is a difficult task. The difficulty is derived from a large number of uncertain knowledge (parameters) such as the radar waveform frequency, the specific signal processing, the surface reflectivity, the actual target elevation and range, etc . This paper offers a technique based on fuzzy logic to solve the uncertain measurement error by multipath propagation. Also, we apply quantitative analysis presenting the degree of multipath effect required to achieve the aforementioned goal. Meanwhile, tracking filter estimation is used to reduce the measurement error by the multipath propagation. After the simulation, the fuzzy‐logic‐based technique not only can simplify the process of the model building by the interacting multiple model but also can promote the tracking accuracy. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society