Title :
Sensor array calibration via tracking with the extended Kalman filter
Author :
Cevher, Volkun ; McClellan, James H.
Author_Institution :
Sch. of Electron. & Comput. Eng., Georgia Tech., Atlanta, GA, USA
Abstract :
Starting with a randomly distributed sensor array with unknown sensor orientations, array calibration is needed before target localization and tracking can be performed using classical triangulation methods. We assume that the sensors are only capable of accurate direction of arrival (DOA) estimation. The calibration problem cannot be completely solved given the DOA estimates alone, since the problem is not only rotationally symmetric but also includes a range ambiguity. Our approach to calibration is based on tracking a single target moving at a constant velocity. In this case, the sensor array can be calibrated from target tracks generated by an extended Kalman filter (EKF) at each sensor. A simple algorithm based on geometrical matching of similar triangles aligns the separate tracks and determines the sensor positions and orientations relative to a reference sensor. Computer simulations show that the algorithm performs well even with noisy DOA estimates at the sensors
Keywords :
Kalman filters; array signal processing; calibration; direction-of-arrival estimation; target tracking; DOA estimation; EKF; direction of arrival estimation; extended Kalman filter; passive sensor arrays; randomly distributed sensor array; range ambiguity; rotational symmetry; sensor array calibration; sensor orientations; target localization; target tracking; tracking; triangulation methods; Acoustic sensors; Application software; Calibration; Computer simulation; Direction of arrival estimation; Equations; Filters; Sensor arrays; Target tracking; Yttrium;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940232