Research On The Model And Application Of Ship-to-Air Missile Command Decision Making

Cooperative engagement, based on the framework of fully sharing of information, is a new operational mode aiming at increasingly serious air targets threats. The cooperative engagement overcomes the drawbacks of the difficulty of comprehensive dispatching and low level of information sharing embodied in the traditional "chimney-type" weapon system framework, reflects the countermeasure feature of one system against another system in anti-air operation, and remarkably improves the anti-air operation efficiency of ship-borne weapons. Based on the analysis of the current situation of cooperative engagement as well as the characteristics of the soft connection framework between weapons, control units, sensors and targets in the mode of cooperative engagement, a relatively systematic study has been done in this dissertation on the degree of threat of incoming air target, fire distribution of ship-to-air missile of ship formation and the priority of firing command decision making plan in the cooperative engagement mode. The main contents of the study are as follows.(1) A fuzzy-priority-neural-network-target-attack-intention orienting model is put forward, which integrates fuzzy set theory, neural network, and genetic algorithm. A neural network orienting model is established in accordance with the features of the air target attack procedure acquired after fusion. The comprehensive searching capability of the genetic algorithm is utilized to achieve the auto-learning, real-time judgment so as to timely accumulate the attack signatures of targets, to update the information of attack modes and methods of the target and to comprehensively judge the attack intention of the target.(2) A non-linear programming model is established which sets a goal function by minimizing the sum of the squares of the weighted generalized Euclidean distances of the total sample attributes to the all grades, in accordance with the greatly increased sensing capability of the battlefield situation, the decreased difficulties of decision making for lack of target information and of precision decision making owing to the entering of large amount of fuzzy and fragmentary information under the condition of cooperative engagement. Iterative discriminating is done by using the accumulated sample bank to determine the classification standard and attribute weighting of mode discriminating of the degree of threat of air targets. This model can be used in real time to discriminate the degree of threat of air targets. After extended, it can be used for fuzzy discriminating of air targets when the attribute information is incomplete. Under the circumstances of incomplete attribute values, three fuzzy discriminating method algorithms, partial range substituting method, direct equivalent method and closest prototype method are proposed, which achieve the fuzzy discriminating of the degree of threat by using the same model when the attribute data of air target are complete or fragmentary so as to improve the level of automation of the anti-air operation of ship formation.(3) The soft connection between weapon, control and sensors is advanced to realize the flexible switch-over of sensors and fire power units through control units according to the characteristics of the cooperative engagement mode which completely changes the traditional fixed link "chimney type" weapon system framework. Based on the sharing of unified battle field situation, by breaking the limit of the concept of traditional weapon target fire power distribution, a non-linear programming model of fire power distribution is set up for the real time dispatching of fire power units, target to be attacked and control unit, which can optimize the dispatching of anti-air resources within the ship formation to greatly increase the anti-air capability of the ship formation.(4) Based on the determining of the sequence of the multiple firing plan of the ship-to-air missile firing decision making after firing power channel is selected in the fire power distribution of ship formation, a fuzzy priority dynamic programming model is established which combines fuzzy priority theory and dynamic programming principle with the aim of taking less anti-air resources, consuming minimum ship-to-air missiles but achieving reliable destruction of air targets. Each decision making index weighting of various firing stage is flexible selected according to the degree of utilization of anti-air resources in different battle field situation. The optimized firing command decision making plan is obtained in real time to repeatedly counter the incoming air targets according to the countermeasure conditions. ship-to-air missile firing command and decision making automation is proposed to minimize the utilization of anti-air resources against air targets, to improve the operation efficiency of anti-air weapons for the promoting of operational efficiency of ship formation against air targets, to satisfy the requirement of effective countering of ship formation against multi-direction and multi-batch saturation attack, to upgrade the comprehensive anti-air operational capability of ship formation and to better solve the key issue of command and decision making in the early planning and research of cooperative engagement of ship formation.At the end of this dissertation, a sum-up on the above research is done and the analysis of some further study and future development trend are also predicted.