Trends in Radar Sensor Information Fusion
Rabinder N. Madan


Generally in sensor fusion one expects that solutions from individual sensors when combined will lead to a solution that outperforms any one of the individual solutions. Though it is known to be true (Condorcet 1786, Democracy Models) for similar sensors, the story is still unfolding in reality and for dissimilar sensors. In the real world there is a myriad of sensors that are performing similar tasks. They were designed to operate individually and their integration is a current after thought and a compulsion, either to arrive at a better solution or at least a nonconflicting solution. This talk will review the seminal contributions of selected researchers and my involvement in the emergence of the field of data, sensor and information fusion. Recent activity in Statistical Signal Processing, Waveform Design and Compressive Sensing is generating some excitement in the functionality and refreshing concepts of Radars, as in MIMO Radar, and deserves to be looked at.