Research On Signal Sorting Algorithm In Complex Environments And Collaborative Jamming Technique

Electronic warfare is very important in modern war.As two fundamental elements of electronic warfare technique,both radar detection and jamming are indispensable.So we need both radar and jammer in modern war.In order to reduce the volume,weight and energy consumption of electronic warfare equipments and solve the limitation of carrying capacity,radar and jammer integration system has become an important aspect in research.This paper makes some research on two parts of radar and jammer integration system,which is signal sorting system and collaborative jamming system,then realizes two systems on hardware platform.First of all,the article studies signal sorting technique on intensive signal environment.After analyzing and comparing current commonly used signal sorting algorithms,a method which combines SDIF algorithm and dynamic expansion correlation algorithm is chosen to sort signals.And it can sort signals quickly and accurately after making corresponding optimization to staggered radar,frequency-agile radar and the situation when a large number of pulses are missing.Then the process of implementation on DSP has been given specific instructions.Next,collaborative jamming technique is introduced based on threatening radars' parameters derived from signal sorting system.Then the whole process of jamming resources distribution,which is the most significant part in collaborative jamming is been detailed after the acquirement of parameters of threatening radars.A method of radar's threatening level evaluation based on improved AHP has been presented.And the distribution effects under three different distribution modes,which are non-collaborative distribution mode,collaborative distribution mode based on PRF and collaborative distribution mode based on threatening level,have been compared to decide which one is better.Finally the collaborative distribution mode based on PRF has been realized on hardware platform.