Many fielded state-of-the-art radars suffer occasionally from excessive false alram rates. Various mechanisms have been devised in order to improve the signal-to-clutter ratio in general, control of false alarms remains to be an issue of concern for the designers. This paper discusses a post-detectuin mechanism that splits the total offer of plots infro four classes, such that each of these mechanism has been developed for maritime sea-surveillance radar having a logarithmic receiver and a sliding window video extractor. It is basically a plot map performing a two-dimensional feature based classification. The features exploited are the signal-to-noise ration and the target extent. The parameters in the algorithm are tunded based on a learning set from the radar operating in real life and tested using the same parameter values on a test set, also recorded during real life operation. The results suggest that a mechanism like proposed can be effective in controlling the false alarm rate', hoever sometimes at the expense of loosing some detections of real targets.
|Publisher||Institute of Electronic Systems, Warsaw Univ of Technology|
|Conference||IRS 2006: Proceedings International Radar Symposium|
|Period||24/05/06 → 26/05/06|
- conference contrib. refereed
- Conf.proc. > 3 pag