Title :
Statistical analysis for bias estimation of two 3-dimensional radars-a prerequisite for multiple radar multi-target tracking
Author :
Kosuge, Yoshio ; OKADA, Takamitsu
Author_Institution :
Inf. Technol. R&D Centre, Mitsubishi Electr. Corp., Kanagawa, Japan
Abstract :
Presents a statistical analysis for estimation of three dimensional radar biases in a two-radar system using several aircraft that are detected by two radars simultaneously. Our computer simulation results have shown the effectiveness of the minimum eigenvalue analysis technique, because we could select appropriate radar and aircraft geometries using this technique in order to obtain a good estimation
Keywords :
Kalman filters; observers; radar computing; radar tracking; sensor fusion; statistical analysis; target tracking; 3D radars; bias estimation; multiple radar multi-target tracking; two-radar system; Aerospace control; Air traffic control; Airborne radar; Aircraft; Azimuth; Computer simulation; Eigenvalues and eigenfunctions; Radar detection; Radar tracking; Statistical analysis;
Conference_Titel :
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location :
Chiba
DOI :
10.1109/SICE.1998.742950
