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Research And Implementation Of Sorting Algorithm For Multi Cooperative Equipments

Posted on:2018-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:H Y ShanFull Text:PDF
GTID:2348330542991396Subject:Communication and Information Engineering
Abstract/Summary:PDF Full Text Request
Radar signal sorting is always the key technology and hotspot in electronic warfare.With the increasing complexity of electromagnetic environment,the increasing types of radar signal,radar parameters change faster and faster,signal flow density is higher and higher,impulse overlapping,clutter interference are main challenges to radar signal sorting.Wrong signal sorting results will lead to missed target and delayed aircraft.In complex environment,the proper sorting of radar signal is crucial to electronic reconnaissance.Therefore,this essay proposes a multiple cooperative equipment sorting algorithm,by sorting algorithm,the improvement of K-Means algorithm and optimization of SIDF based on the time difference and multi parameter weighted algorithm for sorting of radar signal reconnaissance equipment,effectively reduce the interference and influence of pulse superposition,accuracy and reliability to improve the separation results.Firstly,the K-Means algorithm is improved.It is difficult to grasp the prior knowledge of the number of clusters when the signal is sorted.The random selection of clustering centers is easy to cause the local optimal solution,and the global optimal solution can not be obtained.In order to solve these two problems,the K-Means algorithm is improved.Cancel the number of preset cluster centers;confirm the initial cluster center according to the test data.Next,this paper has optimized the SDIF algorithm.The overlapping PRI box is used to enhance the sorting ability of SDIF algorithm to PRI dither radar signal.By using the sliding window to verify the PRI,and reduce the high clutter interference effect on signal sorting.Based on dynamic correlation sequence retrieval,self correcting error is avoided which can cause the sequence retrieval error.Then this paper introduces the separation algorithm based on time difference and multi parameter weighted signal.By using multi parameter matching achieves the offset to improve synchronous signal of time access restrictions,using time different and multi parameter weighted sequence to search for the sequence of signal types and radar parameters by using Apriori algorithm.The radar signal validation based on the classical large data algorithm-time sublinear algorithm is proposed,and finally obtained the sorting results.In complex environment,especially with serious signal loss and clutterinterference,this algorithm hasstable high sorting accuracy and low false sorting rate.Finally,the algorithm has implemented and verified on the hardware platform.The experimental result shows that the multi cooperative equipment sorting algorithm has high accuracy,high reliability and good sorting performance.
Keywords/Search Tags:multi cooperative equipments, signal sorting, TDOA, multi parameter weighting, improved K-Means, optimized SDIF
PDF Full Text Request
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