Search

The Anti Saturation Attack is a vital problem in the field of military defense. When confronted with a large scale missile attack in a short duration, how to optimally allocate interceptor missiles to minimize the loss of total assets until the end of the attack has been studied by many researchers. Recently, deep reinforcement learning methods have been applied to achieve a suboptimal defense policy. Yet there still remains some problems. The convergence process is dependent on the computing resources and the accumulated policies can not be well explained. Moreover, when the attack parameters in the environment is changed, the model needs to be trained from the beginning again, which limits the usage in real time decision-making scenarios. To this end, we propose a hybrid method, which speeds up the approximation to the optimal policy and can explain the attack patterns from the statistical point of view. Furthermore, the light-weight structure makes it possible to deploy in real-time cases. First, an integer convex optimization model is set up to generate initial data and feed the neural network. Second, a neural network and TD methods are implemented to predict the final asset value. Last but not least, the potential usage of the proposed method is testified in a simulation environment where different battlefield parameters and experiments have been set up and conducted. With comparison of other two methods (Heuristic and Deep Q-Network), experiments indicate the hybrid method outperforms the other two methods, with convergence speed nearly 20% faster than the DQN method and expectation of final assets value 12% higher when training in the same episodes.

Self-reliance in satellite-based navigation is of immense importance to modern-day strategic missile defense programs. Indian Space Research Organization (ISRO) has designed, developed and deployed an indigenous regional satellite-based navigation system, Navigation using Indian Constellation (NavIC). This paper reviews the present status of multi-constellation GNSS over the Indian region and its applications in the Indian Missile Program, and the advantages of using NavIC in such strategic programs. The present configuration of NavIC and the roadmap ahead gives a promising scope of self-reliance in these critical strategic programs of Indian Defence. In the future, NavIC will turn out to be a game-changer in the Indian missile program both during peacetime and war scenarios.

In this paper, we study cooperative tracking problem in hypersonic missile defense scenario. To this end, we propose an enhanced cubature Kalman filtering algorithm for cooperative state estimation of the incoming target with bearing-only measurements, the proposed cooperative filtering scheme is fully decentralized and works under any balanced and connected communication topology. Simulation results verified performance of the proposed algorithm.

James Cameron seeks to explain the development of United States nuclear strategy and the emergence of strategic arms control throughout the 1960s in The Double Game. Yet, whilst the book’s title im...

The Indian defense sector is growing at an unprecedented rate in comparison with other leading countries. India is ranked as the 5th largest investor in defense globally. India established itself as the World’s largest arms importer, with 70 percent of its defense procurement coming from foreign companies. The threat from China and Pakistan and their growing defense capabilities have led to a modernization drive; the present government has increased its allocation for capital expenditure to buy fi ghter jets and expand the naval force. In general, several pressing security issues largely determine the direction of India’s security policy and its military spending. First, the insurgency in Kashmir and the related confl ict with Pakistan remain unsolved. Indian armed forces are steadily undergoing modernization, such as futuristic soldier systems and missile defense systems. However, the allocation of resources has been severely inadequate in the recent past that fails to address the various needs of the armed forces in India. This paper will focus on the distribution of funds between capital and revenue expenditure and its significance.