State estimation of spiral maneuvering target and simulation of three-dimensional intercept

An new algorithm is developed in this research. The main task of my thesis is to complete the state estimation and information extraction of a target which executes spiraling evasive maneuvers and the simulation of the interception of a homing missile. It is assumed that the target acceleration vector is orthogonal to its velocity vector which means that the target executes spiraling maneuvers. Based on it the kalman filter is developed to estimate and extract kinetic information including the relative target-to-interceptor position, velocity and target acceleration. In order to improve the performance of the filter, new variables pseudo-measurements are also used in the simulation. Furthermore, the associated guidance law namely Linear-Quadratic Optimal Guidance Law is developed to generate the command accelerations of the interceptor using the state estimate to finish the simulation of intercept, a comparison is also made between the traditional guidance and the new one to determine the best algorithm, and my aim is to minimize the miss distance.