1. Detecting and monitoring activities of personnel is becoming an increasingly important military sensing task. The threats of terrorist activity and asymmetric warfare prompt the needs for monitoring in highly cluttered environments (such as urban environments), and also monitoring of large regions (such as national borders). To address this difficulty, new sensing methodologies, and new ways of collaboratively processing sensed information, are needed.

This project will develop signal processing and inference techniques for detection, estimation, and tracking of personnel and vehicles. The project will consider a spatially distributed network of sensors employing multiple sensing modalities. Signal characterization, both within and across signal modalities will be used to develop and validate multi-modal models from which to develop effective signal processing and sensor fusion algorithms and to characterize expected algorithm performance.