Cross-product algorithms for source tracking using an EM vector sensor

Authors:
A. Nehorai;P. Tichavsky
Affiliations:
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Year:
1999

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An Enumerative NonLinear Programming approach to direction finding with a general spatially spread electromagnetic vector sensor array

Signal Processing

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Abstract

We present two adaptive cross-product algorithms for tracking the direction to a moving source using an electromagnetic vector sensor. The first is a cross-product algorithm with a forgetting factor, for which we analyze the performance and derive an asymptotic expression of the variance of angular estimation error. We find the optimal forgetting factor that minimizes this variance. The second is a Kalman filter combined with the cross-product algorithm, which is applicable when the angular acceleration of the source is approximately constant.