MIMO low-power devices not only have the concept of longer lasting device technology, but can work together cooperatively to form unique mesh networks and provide for sensor nodal input on down sensors and potentially unreliable sensors within the network.

Sensor technologies are widely used in areas like target tracking and target identification for navigation, transport and defense systems. A great variety of sensor techniques based on probability theories are available, including Kalman filtering, particle filtering and optimal Bayesian filtering. Recent research has focused on multi-target tracking, multi-sensor filtering and target tracking in clutter, which still proves to be an area of exploration and of great potential for various applications. This project will have direct application to areas such as data fusion systems, image tracking, target tracking and identification and advance early warning and control systems. Advanced sensor signal processing techniques will allow sensors to adapt to their environment, changing clutter and target characteristics for improved detection, tracking and situation awareness.