Missile Flight To A Parameter Of The Fast Algorithm

Along with the high technology application of militarily and the characteristics of war today, sensitivity and flexibility that in the clouting the rate of guided missile shoot with guided missile more and more high. Therefore, fleetness, accuracy, and solid hour are needed in computing parameters which affect dynamic guided missile. Aim at this problem, we research the methods which can estimate some parameters in this paper.The main goal of this thesis is constructing the fleet method to compute the parameter correction of small quantity of flight of dynamic guided missile. In the paper, we advance three methods including polynomial approximation, cubic spline approximation and rational fraction approximation to realize it. Experiment prove that our methods greatly improve the speed comparating to original ways. Application in engineering indicate the feasibility and efficiency. Firstly, we obtain an equation which is from the polynomial approximation of original data. Secondly, we get the other equation corresponding to original data by interpolation of cubic spline and cubic spline approximate. In the end, We get the precision needed in the engineering by two measures, arithmetic 1: we use polynomial approximate original data firstly , then employ rational fraction approximate polynomial and obtain the new data .which is from that we use result subtract the original data, considered new original data at last. We repeat operation above to get the precision needed, arithmetic 2: we ameliorate the Gauss_Newton arithmetic to make original points easy to choose. Experiment proves that this new method can get higher precision.from the calculation and charts of experiment, we can see that polynomial approximated is easy but precision is bad. Cubic spline approximation is better but computation is slight complexity, for rational approaching ,it can reach the condition only after but the number of times higher or time costing. Much instance indicate: the resul is not only the best but also calculation measure is low when we adopt spline approch( the less segment).