Method for detection of moving object of approximately known size in conditions of low signal-to-noise ratio

摘要

The invention provides a method for detection of a moving object when signal-to-noise ratio is low. A field of view is presented as a regularly updated frame of data points. A state of the object is defined by an “azimuth-speed” pair (i.e., a hypothesis). On each update, a detection system performs two steps. At the first step, the brightness of data points of a new frame is replaced by the average brightness of points surrounding this point. At the second step, the brightness of data points of this frame is being accumulated separately for each hypothesis. On each update, one of hypotheses produces the accumulated frame with the brightest point. This hypothesis is considered the best; its frame is displayed on a screen. The object is detected when the best hypothesis stabilizes in a sequence of updates and the movement of the brightest point becomes consistent with this hypothesis.