Design And Implementation Of A Radar Emitter Recognition System For Large-Scale Datas

Radar emitter recognition is one of the critical technologies for radar reconnaissance signal processing.With the rapid development of radar technology and the application of the new type of radar,the density and complexity of radar signals have significantly increased.Also,the deterioration of the electromagnetic environment and the enhancement of interference technology have brought significant difficulties to radar emitter recognition.Accurately and rapidly identification every radar emitters has been one of the most difficult in radar emitter signal identification.The traditional basic parameter representation of radar signals isn't beneficial while recognizing complex radars,at the same time,that is difficult to identify the hopping radar signals with an ideal recognition rate.In this dissertation,we research existing radar emitter signal recognition methods,Experiment on the radar signals based on pulse sequence pattern,Optimize the identification method of Radar emitter recognition based on Vague set and pulse sequence pattern and finally we design and implement a large-scale radar signal recognition system.The main contributions of this article are as follows:(1)For the increasing complexity of radar signal.this dissertation take both two advantages of the Vague set and pulse sequence pattern on the larger-scale data processing,which the former is good at processing Fuzzy Multi-attribute Decision Making Problem and the latter is good at the storage and identification of radar signals.Under this premise,we optimize large-scale data processing and improve radar signal recognition to improve efficiency and accuracy.(2)Proposed rapid matching method according to the basic parameters of the unknown radar signal,order of database index and thread pool technology.It can not only quickly identify the known radar signal,but also prevent the radar recognition from being slowing down because of the weakness of the algorithm.(3)Implement a universal large-scale radar data identification platform that is scalable and versatile.And it not only can be used to process radar signal recognition in the field proposed in this dissertation but also provide a useful and straightforward way to be used for the following radar recognition scenarios and other algorithms and easy to use in the large-scale data field.Then we test the functionality and performance of this system.The result of all the tests show that algorithm and structure are correct and reach the standards...