Simultaneous Registration and Tracking for Multiple Radars with Cluttered Measurements
نویسندگان
چکیده
Simultaneous registration and tracking has advantages over other track registration techniques because it is capable of responding to changes in registration errors. The track registration problem is presented for a network of two geographically distributed radars with unknown measurement biases that are xed or slowly varying. The extended Kalman lter that receives unregistered and cluttered plots from the radars and outputs registered tracks, is used to carry out centralized simultaneous registration and tracking. A multisensor probablistic data association lter (PDAF) that combines locally gated plots from the radars is developed to enable the system operate under clutter. The algorithm satis es a number of important registration design criteria.
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