A Method of Maneuver Detection Based on Multi-step Innovation

Abstract

One way to improve the processing capability for high-speed mobile anti-ship missiles is to improve the target data tracking rate, so that the Fire Control System can obtain more target information, but the improvement of the data sampling rate will reduce the signal - to - noise ratio of single - step window measurement by the traditional maneuver detection algorithm. In this paper, a maneuver detection algorithm based on multi - step prediction is proposed. The algorithm uses the current measurement value and the multi - step prediction value information, and uses the maneuver detection method based on attenuation memory. Through the simulation calculation method, the relationship between the minimum maneuver detection delay time and the attenuation coefficient, and the prediction step are given. At the same time, the method can also effectively reduce the detection of false alarm rate.