Presentation 2002/8/23
An analysis of various α-β filters for linear FM chirp radars
Takeshi AMISHIMA, Masayoshi ITO, Yoshio KOSUGE,
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Abstract(in English) This paper provides the stability condition, steady-sate gains, and error covariance equations of the various α-β filters for Linear FM waveforms. The various α-β filters considered here differ form each other because their dynamical models are different. They are discrete model with system noise in Random Velocity(RV), in Random Acceleration(RA), in Random Nth derivative of acceleration(RN), and discretized Continuous constant velocity Model(CM). It is also numerically shown that among RA, RV, and CM filters, RV filter has the best performance in terms of velocity error variance when the maneuvering index is fixed.
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Keyword(in English) Tracking / α-β filter / Pulse compression / Radar / Kalman filter
Paper # SANE2002-45
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Committee SANE
Conference Date 2002/8/23(1days)
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Paper Information
Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An analysis of various α-β filters for linear FM chirp radars
Sub Title (in English)
Keyword(1) Tracking
Keyword(2) α-β filter
Keyword(3) Pulse compression
Keyword(4) Radar
Keyword(5) Kalman filter
1st Author's Name Takeshi AMISHIMA
1st Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.()
2nd Author's Name Masayoshi ITO
2nd Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.
3rd Author's Name Yoshio KOSUGE
3rd Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.
Date 2002/8/23
Paper # SANE2002-45
Volume (vol) vol.102
Number (no) 293
Page pp.pp.-
#Pages 6
Date of Issue