Research On Jamming Resource Allocation Algorithm Of Distributde Blanketing Jamming System

Distributed electronic countermeasure technology, as an important method of electronic countermeasure, has received more and more attention from researchers in the relating fields, since it can disrupt many new system radars effectively. As a specific application of distributed electronic countermeasure, distributed blanketing jamming system perform power jamming against radar through many small wireless nodes distributed in the near area of the radar. Those nodes can form a sector against radar and transmit blanketing jamming power toward the radar. The blanketing jamming task will cost the distributed jamming system a great portion of energy. Since the initial energy of the whole system is limited, it is very important to allocate the power in a rational and effective way both to prolong the life time of the system and to improve the effect of blanketing jamming. Right now, all the existing jamming resource allocation algorithms are designed for the traditional single jammer. Comparing with distributed blanketing jamming systems, single jammer is huge and can transmit high power. In that case, those traditional resource allocation algorithms do not take the features and specific application of distributed jamming system into consideration. And thus, those algorithms can not be applied directly to the distributed blanking jamming system. Due to all the reasons mentioned above, this paper has built a jamming power allocation model for distributed blanketing jamming system and conducted research about each algorithm in different situation, respectively.First, this paper constructed a distributed blanketing jamming resource allocation model. That model is based on jamming equation. Also, the specific application scene, the unique features of the system and how the beam of radar functions has been considered in that model. The model is succinct and can explain the physical relationship of different factors clearly. All the algorithms in the following parts of this paper are based on that model.Second, this paper introduced an algorithm, which is called minmax, to solve the jamming resource allocation problem. That algorithm can be used to prolong the life time and improve the jamming effect of the system. Also, the constraints of the algorithm are derived from the specific application scene. It is suitable for the distributed blanketing jamming system since it can balance the consumption of energy between difference nodes and the jamming effect of different beam positions. To ensure the minmax algorithm can be applied into different real situations, such as initial energy of each node is different or the scale of the system is too big, this paper put forward several versions of the algorithm to make it better function.Furthermore, this paper also expanded the blanketing jamming resource allocation problem to the situation where the parameters can not be accurately known. The prerequisite of successfully jamming radar is that all the parameters in the radar jamming equation can be accurately obtained. However, in fact, it is difficult and costly. After reconstructing the model of the distributed blanketing jamming power allocation problem in the perspective of probability, the last part of this paper has analyzed the minmax algorithm when the uncertainty of those parameters obeys normal distribution, uniform distribution and when there is a boundary of the parameters and summarized a general framework for the minmax algorithm.