Estimation For The Period Of Radar Pulses Stagger Sequence Based On The Compressed Sensing

With increasingly intensive and complex electromagnetic environments and the emergence of new radar systems,radar signal sorting is facing new technical challenges.These aspects also expose the disadvantages of the classical PRI sorting algorithms,which cannot operate effectively in high-false and high-missing electromagnetic environments,especially the stagger interval period.On the other hand,compressed sensing has achieved excellent results in the field of period estimation.The Ramanujan filter bank based on the compressed sensing theory can shield the influence of other periodic data on the target period data,and can accurately estimate the complex period data period.However,limited by the huge data and calculations of the compressed sensing algorithm,it is impossible to estimate the interval periods of mixed radar pulses.The purpose of this paper is to estimate the stagger interval periods of mixed radar pulses online by compressed sensing.The paper is divided into three parts:1)First,in estimating the interval period of aliasing pulses,by clarifying the zero-sum energy property of the Ramanujan Subspace,the possibility of finding an alternative to the DFT sequences with smaller data is proved.Next,the rationality of alternatives to the TOA model is illustrated by comparing the advantages and disadvantages of the time-point model and the TOA model.Experiments show that the replaced algorithm can accurately estimate the interval period in the mixed pulses.2)On this basis,a new algorithm for estimating the stagger interval period of mixed pulses is proposed,which introduces the initial phase of the stagger pulses.The results of the experiments show that the algorithm can accurately estimate the hidden stagger interval periods of mixed pulses,and it is adept at dealing with false and missing mixed pulses.For the jitter interval period,this paper introduces the windowing function to calculate its initial phase,and then obtains the jitter rate of the jitter interval period.3)Although the new algorithm implements the stagger interval period estimation of radar aliasing pulses,the new algorithm runs longer than the classical PRI sorting algorithm,far from the requirements of online estimation.In order to accelerate the stagger interval period estimation algorithm of radar aliasing pulse,and considering that there are a large number of parallel operation modules in the algorithm that do not interfere with each other.This paper chooses a graphics processing unit(GPU),a device capable of processing parallel computing,and then designs a parallel algorithm to achieve the purpose of acceleration.The results of the experiments show that the parallel algorithm not only guarantees the recognition rate of the algorithm,but also meets the requirements of online processing.