A multi-sensor tracking and identification algorithm using the square-root information filter

A multiple dissimilar sensor multi-target tracking and identification algorithm using the square-root information filter is proposed. The procedures employed within this algorithm minimize the computational effort by working entirely within the information domain and utilizing a coordinated approach to the treatment of both kinematic and non-kinematic properties. The development of an object-oriented simulation testbed is outlined.<<ETX>>

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