Research On Operation Mode Classification Methods With Fast Implement Of Electronic-scan Phased Array Radar

The role of electronic warfare in modern warfare is more and more important.It is an important factor in determining the outcome of war.With the continuous development of radar technology,phased array radar technology came into being.Due to its unique advantages and flexibility,phased array radar has received more and more attention in modern warfare and has been applied to military equipment in large quantities.And at the same time,it also bringing great challenge to the scout.how to rapidly reconnaissance and recognize phased-array radar signals to provide electronic warfare support for subsequent intelligence systems to improve the operational capability of electronic warfare has become a key issue that needs to be solved urgently in modern electronic warfare in a complex electromagnetic environment.Phased array radar provides great conditions about multiple scanning modes and working modes with its antenna beam scanning flexibility,signal diversity,and multi-target processing capabilities.This thesis studies the phased array radar system and work pattern recognition on the characteristics analysis of phased array radar and,and realizes the efficient realization of phased array radar recognition on hardware platform.The specific work is as follows.1.Analyze the characteristicsand various working modes of phased array radar.Firstly,the waveform characteristics,beam characteristics,and characteristic parameters of the phased array radar are analyzed.Then,the multiple working modes and application scenarios of the phased array radar are also analyzed and discussed.2.To study the identification method of phased array radar,including the identification of phased array radar systems and the identification of working modes.For the identification of phased array radar system,the pulse amplitude characteristics of mechanical scanning,one-dimensional phased array and two-dimensional phased array radar signals are explored,and the recognition of phased array radar system is realized using cross-correlation method.For the identification of different working modes of phased-array radar,the characteristics of the parameters under different modes are first analyzed,and multi-dimensional feature parameters are used for dynamic clustering.At the same time,for the insufficiency of dynamic clustering methods,the improved fuzzy clustering method is used to realize the phase contrast.Efficient recognition of radar array operating modes.Finally,the two methods are compared and analyzed by simulation experiments.3.High Efficiency Hardware Implementation of Phased Array Radar Recognition System.Firstly,Design the hardware structure and processing flow in the system,and at the same time,propose a solution for the efficient realization of the phased array radar identification system,including multi-core-based efficient scheduling implementation,large-scale data fast transmission,and an efficient implementation scheme based on the TMS320C6678 DSP assembly instruction set.Finally,the reliability and high efficiency of the platform identification for phased array radar are verified by the hardware system.