Research On Fault Diagnosis And Pattern Correction Of Cylindrical Conformal Array

Compared with traditional array antennas,conformal arrays can achieve better space utilization when fitting with the carrier structure in physical structure and have the advantage of large beam scanning range in radiation performance,so it becomes a modern wireless research hotspot in the communications industry.At the same time,the more complex physical structure of conformal arrays makes the related research of conformal arrays more difficult compared with traditional arrays,so it is very meaningful to carry out related researches on conformal arrays.This article takes the cylindrical conformal array as the research object,respectively from the direction graph synthesis of the conformal array,the fault diagnosis of the conformal array and the conformal Three aspects of the correction of the array distortion pattern are studied.The main content of the full text is as follows.In the research on the synthesis method of the far-field radiation pattern of the conformal array,the main factors affecting the synthesis of the conformal array pattern are first analyzed,and the method based on the Euler rotation principle is used to eliminate this influence.Then use this method to simulate cylindrical conformal arrays of different scales and analyze the comprehensive performance of the method from the overall similarity of the pattern and the pattern parameters.Then the comprehensive performance of the directional pattern is compared and analyzed considering the two methods of adding coupling effect and not adding coupling effect.Finally,compare the comprehensive efficiency of the direction map of the method in this paper and full wave algorithm software.In the fault diagnosis of conformal array,first the principle of near-field measurement is introduced,and then the principle of sparse Bayesian learning diagnosis algorithm is introduced and the fault of cylindrical conformal array is diagnosed by it.Then the simulation experiment is used to analyze the diagnostic performance of the algorithm under different signal-to-noise ratios and different fault ratios.Then the paper introduces the basic principle of BP neural network algorithm and this algorithm is used to diagnose the fault of cylindrical conformal array.In addition,simulation experiments are used to analyze the diagnostic performance of the algorithm under different signal-to-noise ratios and different fault ratios.Finally,the diagnostic performance and efficiency of the two algorithms are compared in the conformal array fault diagnosis.In the correction of the conformal pattern,first the principle of particle swarm algorithm is introduced and the distortion pattern is corrected by it,and the correction performance of the algorithm is analyzed in terms of the overall similarity of the pattern and the pattern parameters.Then the principle of the cuckoo algorithm is introduced and the distortion pattern is corrected by it,and the correction performance of the algorithm is analyzed in terms of the overall similarity of the pattern and the pattern parameters.Then the principle of the cuckooparticle swarm hybrid algorithm is introduced and the distortion pattern of the fault array is corrected,and the correction performance of the algorithm is analyzed in terms of the overall similarity of the pattern and the pattern parameters.Finally,under the same conditions,the correction performance and correction efficiency of the three algorithms are analyzed.