Cognitive sensor/processor system framework for target tracking
In this chapter we examine the emerging topic of artificial cognition and its application to target tracking. Most sensor/processor systems employ a feed-forward processing chain in which they first perform some low-level processing of received sensor data (such as obtaining target detections) and then pass the processed data on to some higher-level processor (such as a tracker or classifier), which extracts information (such as target kinematic parameters and target type) to achieve a system objective. Tracking and classification can be improved using adaptation between the information extracted from the sensor/processor and the design and transmission of subsequent illuminating waveforms. As such the application of artificial cognition to sensor/processor systems offers much promise for improved sensing and processing [1-7].
Cognitive sensor/processor system framework for target tracking, Page 1 of 2
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