Research On The Method Of Radar Signal Sorting In Complex Signal Environment

With the rapid development of radar technology and the extensive application of new system radar,the signal environment in which the radar is located presents a dense,complex and changing feature,and the difficulty of radar signal sorting is gradually increasing.At present,the traditional signal sorting method has been unable to meet the requirements of real-time sorting.In order to sorting the radar signal in complex signal environment effectively,we study the key algorithm of signal sorting in this paper and for the single sorting algorithm there are defects in the sorting results even not correctly sorting the defect,research algorithm combined sorting.Traditional signal sorting method in a single form,can only adapt to the number of single,parameter-specific radiation source environment,has been far from being able to meet the requirements of modern signal sorting.Therefore,in the current rapid development of information society under the background of the urgent need to find out to adapt to complex and volatile electromagnetic environment,a new method of signal sorting.In this paper,based on the study of classical signal sorting algorithm,two new methods of signal sorting which can adapt to the current complex signal environment are proposed.The main work is as follows:(1)This paper briefly introduces the background of current signal sorting and the research status at home and abroad,and gives a brief overview of radar signal sorting technology.It expounds the reasons of the current complex signal environment,the important parameters of signal sorting and the system of signal sorting Structure,to follow-up study laid a solid foundation.(2)This paper analyzes the typical radar signal sorting algorithm,including cumulative difference histogram method,sequence difference histogram method,PRI transformation method and its correction algorithm,dynamic correlation method and independent component analysis method.And the different algorithms are calculated and simulated.The characteristics of each algorithm are analyzed from different angles,and the applicable range of different algorithms is verified.(3)A new algorithm of PRI transform based on intra-pulse feature is proposed to add the characteristics of the signal pulse into the PRI transform.Firstly,the overlapping signal is pre-separated by pulse characteristics,which reduces the complexity of the pulse and The pre-separation signal is allocated to different data buffers,and then the parallel operation isperformed.The sub-pulse streams of different buffers are sorted by PRI transform.And the algorithm is verified by computer simulation,and its validity is verified.(4)Finally,the algorithm of blind source signal separation is studied.Combining the fast independent component separation algorithm(FastICA)and the second-order blind identification algorithm(WASOBI),a new method of diagonalized blind source signal(PI)and signal-to-interference ratio(SIR)were used to analyze the performance of the algorithm under different signal-to-noise ratio(SNR).As the modern radar signal model and the electromagnetic environment become more and more complicated,the difficulties of signal sorting technology become more and more serious,how to rationally use the different characteristics of the pulse signal to achieve accurate sorting,is the current complex signal environment sorting technology Research hotspots,the need for existing algorithms in-depth research and improvement in order to propose suitable for the current complex signal environment sorting method.