Fusion problem of dissimilar sensor data in the CASE_ATTI test-bed is considered. The sensors suite simulated includes an ESM sensor that reports bearing-only contacts, a 2D radar that reports range-bearing contacts, an IRST sensor that reports bearing-elevation contacts, and a 3D radar that reports full 3D contacts. To fuse all this information, CASE_ATTI is modified into a two-layer fusion architecture, with four sensor-level trackers and a central fusion node. Therefore, the fusion of all the dissimilar 1D, 2D and 3D tracks represents an important problem that this paper addresses. The important and directly related issue of tracking with angle-only reports is also addressed. The angle-only tracking represents an important issue in modern surveillance systems and has been extensively studied in recent years. Angle-only tracking systems are known to be unobservable unless the interceptor over-maneuvers the target. A divergence of the target state estimate may occur in the case of stationary or non-maneuvering interceptor. In this article, a new time alignment algorithm, that enhances stability, even for non-maneuvering interceptors, is developed. The proposed algorithm is based upon the modified spherical coordinate representation, but uses a different discretization approach that leads to a more stable behavior. Comparative scenario that illustrates the efficiency of the proposed architecture is presented.
Sensor Management (SM) has to do with how to best manage, coordinate and organize the use of sensing resources in a manner that synergistically improves the process of data fusion. Based on the contextual information, SM develops options for collecting further information, allocates and directs the sensors towards the achievement of the mission goals and/or tunes the parameters for the realtime improvement of the effectiveness of the sensing process. Conscious of the important role that SM has to play in modern data fusion systems, we are currently studying advanced SM Concepts that would help increase the survivability of the current Halifax and Iroquois Class ships, as well as their possible future upgrades. For this purpose, a hierarchical scheme has been proposed for data fusion and resource management adaptation, based on the control theory and within the process refinement paradigm of the JDL data fusion model, and taking into account the multi-agent model put forward by the SASS Group for the situation analysis process. The novelty of this work lies in the unified framework that has been defined for tackling the adaptation of both the fusion process and the sensor/weapon management.