Title :
Cross-product algorithms for source tracking using an EM vector sensor
Author :
Nehorai, Arye ; Tichavský, Petr
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
10/1/1999 12:00:00 AM
Abstract :
We present an adaptive cross-product algorithm for tracking the direction to a moving source using an electromagnetic vector sensor and analyze its performance. We then propose a multiple forgetting factor variant of the same algorithm, which has self-tuning capability, numerical examples are included
Keywords :
adaptive signal processing; direction-of-arrival estimation; electric sensing devices; electromagnetic devices; magnetic sensors; target tracking; EM vector sensor; adaptive cross-product algorithm; angle of arrival; electromagnetic vector sensor; moving source; multiple forgetting factor; performance; self-tuning capability; source tracking; Algorithm design and analysis; Array signal processing; Computational complexity; Electromagnetic analysis; Electromagnetic measurements; Magnetic field measurement; Performance analysis; Sensor arrays; Signal processing algorithms; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on
