Improved target detection and tracking in littoral environments using a self-organising spatio-temporal CFAR

摘要

This paper describes a self organising spatio-temporal radar CFAR system that usesmultiple intelligent software agents to detect and adapt the processing to features in theenvironment. By combining both temporal and spatial data gathering sufficient samplescan be collected to allow both the first and second order moments of the clutterdistribution to be approximated for each cell. By gathering higher order statistics to auseful accuracy, more stable thresholds may be produced