Target Characterization using McMODAF (Markov-chain Augmented Multiple-Modality Data Fusion) Technique

ABSTRACT: We propose a technique which employs a variety of sensors combing data to form a comprehensive picture of the situation of interest. The goal behind this technology is to increase the effectiveness of military objectives by giving a more complete, integrated view of situations to enable a quicker response while eliminating errors caused by individual sensor failures. In Phase I of this program AS & T will assess a data fusion paradigm that enables decision making based on the fusion of heterogeneous data. This will be done by utilizing sensors with differing modalities, some typical for imaging (visible, MWIR, LWIR) and some associated with non-imaging detectors. The collected data will then be used to demonstrate the optimal methods of identification, discrimination and tracking of the target necessary to determine various aspects of its state and features for augmented space surveillance. The focus of the approach to be developed in Phase I is to exploit the high data rates of non-imaging sensors to augment the overall system performance. During Phase II, we will extend the proposed method, design and build a breadboard for verifying and optimizing the predicted system performance, demonstrate and refine laboratory operation, and estimate the working envelope. BENEFIT: The US military relies upon a diverse array of sensing resources to achieve enhanced space situation awareness. As a result, given the vast resources providing a war-fighter with information, the military incorporates stochastic algorithms into sensor fusion systems to process the sensors"information. Military applications include, but are not limited to remote sensing, active tracking of fast-moving targets including space objects (satellites, space debris), and cross-communication systems. Commercial sectors that are effectually use the multi-parametric sensor fusion technology include robotics, geospatial information systems, business intelligence, and a broad variety of medical applications, including diagnostics, recovery prognosis and optimal recovery estimates, etc.