Research On Millimeter Wave Radar Deformation Measurement Algorithm

In recent years,with the development of solid-state millimeter wave devices,millimeter wave radar technology has gaine d great impetus,and its products are constantly applied in various fields,such as liquid level monitoring,automobile anti-collision,short-range ranging and so on.Among them,the most widely used is the linear frequency modulation continuous wave(LFMC W)radar,which covers a large bandwidth in the ultra-high frequency band,not only ensures the accuracy but also ensures the range resolution,and can achieve high-precision ranging function.According to the current research and analysis,3D deformation monitoring system is a set of system that needs to be developed urgently.Due to the complex environment,lack of automation and other defects,the traditional monitoring methods can no longer meet the needs of modern engineering.With the gradual aging of global buildings and the development of Internet of things,the automatic collection of deformation observation and information is becoming increasingly important.The millimeter wave radar deformation monitoring system based on linear frequency modulatio n system has the advantages of high precision,automation and low budget.It means a lot to develop a millimeter wave radar system which can monitor deformation with high precision.This paper mainly studies the high-precision ranging algorithm for LFMCW radar,the positioning algorithm of multi station radar and the hardware measurement analysis of millimeter wave radar deformation monitoring system.The main work and innovations of this paper are as follows :1.A distributed millimeter wave radar high-precision deformation monitoring system is designed and implemented by hardware.Multiple radar base stations are used to range and locate the target points,and the high-precision three-dimensional deformation monitoring of the target points is realized.2.In the aspect of high-precision ranging algorithm,we analyze the measurement accuracy of various algorithms,explore the error reasons of the phase difference algorithm based on zero filling FFT,and propose an improved phase difference algorithm based on CZT spectrum thinning technology,which reduces the signal-tonoise ratio threshold of the phase difference algorithm a lot,and the amount of calculation is also significantly reduced.Then,a practical ranging algorithm combining frequency method and phase method is proposed.The algorithm effectively avoids the phase ambiguity problem of phase difference algorithm,and achieves good results in the verification of measured data.3.In the aspect of location algorithm based on ranging,we apply maximum likelihood estimation,steepest descent algorithm and neighborhood search algorithm to target location in three-dimensional space,analyze the influence of base station configuration on algorithm accuracy,and effectively improve the positioning accuracy of the algorithm in practical application.