Design And Application Of Training Systemin The Shooting Range Of Airplane Based On WSN

Wireless Sensor Networks(WSN),which are made by the convergence of sensor,nested computation,networks and wireless communication technologies,is believed one of the most important technologies in the 21 century.It is a novel technology about acquiring and processing information and a late-model wireless network of infrastructureless network.It can be used for testing,sensing,collectiong and processing information of monitored objects in the same time and transmit tothe user who need it.WSN is a new research area of computer science and technology and has a wide application future. Academia, industries and military are very interested in it.Wireless sensor networks are designed for specific applications but not a universal application, the necessary for hardware and software in different applications platforms are not the same. This papers applies wireless sensor networks positioning technology, this advanced technology to the field of training tests of the aircraft hit targets, which is based on my job's practical need (I am a soldier)to put forward bold ideas.It is an innovative try for the first time at home and abroad . It provids a new solution for the training evaluation of hitting to target. It will improve the efficiency of pilot target practice training, enhance the army's combat effectiveness and promote the process of informatization construction of our army, but also develops a wireless sensor network application.According to require of orientation precision of the bomb drop in shooting range of airplane and actual environment characteristics, firstly, this paper analyzed several object orientation technologies in common use in WSN, contrasted advantages and disadvantages of each technology, finded out orientation method of Multilateral algorithm based on TDOA adapted to request of this item, improved on arithmetic, and cipher out the distance by Least-squares algorithm in reality. Further use of weighted least squares algorithm to ranging error covariance matrix as weights to reduce the position error caused by positioning errors.Then I disposed the results by date fusion technology, minished effect to orientation precision because of time not in-phase of single sensor and the factors of outside environment.Finally I imitated the arithmetic by MATLAB software, proved its feasibility.