Abstract:

Moving targets detection and tracking is widely used in practice. Problems such as weak signal and severe interference of stationary objects usually occur in detecting and tracking high-speed low-altitude moving targets. Based on some aircraft landing radar echo images, a sliding window morphology match algorithm was presented to detect objects in a gray image which was processed by using frame difference. A second match algorithm was used  to find targets with a weak signal and remove false target interference.  Making a correlation between the pilot trail and the multiframe image could eliminate similar target interference of stationary objects and thus achieve the goal of tracking a moving target. The results of experiments showed that this processing algorithm is simple and has a short frameprocessing time. It can detect very weak signals, effectively suppress any interference, and quickly capture targets. This algorithm achieves real-time detection of moving objects, accurate positioning and no tracking loss.

Key words:  frame difference, sliding window morphology match, point-trail correlation, second match, forecasting