Comparison of two detection-based adaptive variable update rate algorithms for tracking targets with phased array radars

The effects of incorporating two kinds of detectors, the fading memory average of the acceleration (FMAA) and the fading memory average of the innovation (FMAI), into adaptive variable update rate algorithm for tracking targets are investigated and compared. Effective windows are used in the beginni...

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Bibliographic Details
Published inProceedings of 2011 IEEE CIE International Conference on Radar Vol. 2; pp. 1902 - 1906
Main Authors Huan-xin Liu, Bo-yan Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Acceleration
Estimation error
Fading
Maneuver detection
Noise
Phased array radar
Radar tracking
Target tracking
Variable update rate
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ISBN1424484448
9781424484447
ISSN1097-5764
DOI10.1109/CIE-Radar.2011.6159946

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Summary:The effects of incorporating two kinds of detectors, the fading memory average of the acceleration (FMAA) and the fading memory average of the innovation (FMAI), into adaptive variable update rate algorithm for tracking targets are investigated and compared. Effective windows are used in the beginning and end of the maneuver to make a decision how to adaptively change the sampling interval. Simulation results show that the FMAA makes a better reflection of the maneuver compared with FMAI to get smaller errors in target tracking.
ISBN:1424484448
9781424484447
ISSN:1097-5764
DOI:10.1109/CIE-Radar.2011.6159946