Closed-Loop Tracking Using Multimodal RF/EO Sensors
This paper addresses the problem of using multiple, spatially distributed RF/EO sensors for target tracking. Data from the multi-modal sensors is collected at a fusion center, and used to track multiple objects in the sensors' field of view. Continuous approximations are made of the sensors' resolution in range, range rate and azimuth in terms of system parameters such as bandwidth, PRF, EO zoom and pointing angle. These approximations are used to create a continuous objective function in terms of the tracking filter's information matrix, and a search is undertaken to find the system parameters that optimize tracking performance based on the current target environment. Simulations demonstrate the benefit of this technique compared with open-loop tracking methods.