Presentation 1997/7/25
Bias Error Estimation of Two 3-Dimensional Radars
Takamitsu OKADA, Shingo TSUJIMICHI, Yoshio KOSUGE,
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Abstract(in English) Statistical analysis techniques for estimation of three dimensional (range, elevation and azimuth) radar biases, using a six-order Kalman filter, are presented in a two-radar system. It becomes clear that the radar biases can be uniquely determined provided that observation matrix has full column rank, even though observation matrix is a nonlinear function of position measurement vector and a priori estimates of radar biases. But our computer simulation results show that there is a case where the radar bias estimation errors are unbounded. Even in the divergence case, observation matrix has full column rank. Therefore, we present new condition of accurate radar bias estimation. This condition is that the minimum eigenvalue of a matrix H^TH is sufficiently larger than zero, where H is the observation matrix and H^T indicates transpose of matrix H.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Kalman filter / bias estimation / multi sensor / observability / fusion
Paper # SANE97-43
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Conference Information
Committee SANE
Conference Date 1997/7/25(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) Bias Error Estimation of Two 3-Dimensional Radars
Sub Title (in English)
Keyword(1) Kalman filter
Keyword(2) bias estimation
Keyword(3) multi sensor
Keyword(4) observability
Keyword(5) fusion
1st Author's Name Takamitsu OKADA
1st Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.()
2nd Author's Name Shingo TSUJIMICHI
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 1997/7/25
Paper # SANE97-43
Volume (vol) vol.97
Number (no) 209
Page pp.pp.-
#Pages 8
Date of Issue