Investigation And Realization Of Radar Velocity And Range Measurement Signal Processing Algorithms For Hydrological Monitoring

With the rapid development of science and technology,radar technology has transformed from the earliest military technology application to civilian use,especially as a non-contact speed and distance measurement sensor;Hydrological monitoring refers to the observation and measurement of hydrological elements,including water level,runoff,flow velocity,precipitation,etc.Radar has significant advantages in hydrological monitoring due to its noncontact and real-time characteristics,and its related technologies have become a research focus of major manufacturers.Therefore,the research on radar technology has important practical significance.The intermediate frequency signal processing algorithm is the core of radar ranging and velocity measurement technology.However,the accuracy of traditional intermediate frequency signal processing algorithms is relatively low,which directly affects the accuracy of radar systems.To address this issue,this article has studied the improvement and implementation of radar intermediate frequency signal processing algorithms:Firstly,this thesis describes the basic structure of the radar system,studies the speed and distance measurement principle of continuous wave radar and frequency modulated continuous wave radar,compares and analyzes the advantages and disadvantages of different modulation waveforms,and finally selects sawtooth wave as the distance measurement waveform,and continuous wave as the velocity measurement waveform.Secondly,This thesis focuses on the signal processing algorithm of radar speed and ranging.according to the principle analysis,the frequency estimation algorithm is the core of radar speed measurement and ranging,the traditional FFT algorithm has a fence effect,and it is necessary to obtain higher accuracy by correcting or refining the algorithm.In this paper,multiple frequency estimation algorithms are studied and compared,and finally selects the IRife algorithm and improves it.Through simulation,it compares several commonly used algorithms FFT,Rife,and CZT in various aspects.From the perspective of accuracy and antiinterference performance,the improved algorithm is similar to the CZT algorithm,and is significantly stronger than FFT and Rife,while the computational complexity of the improved algorithm is significantly lower than CZT,fully demonstrating the advantages of this algorithm.Finally,this thesis presents the design and implementation process of the embedded system of the algorithm.GD32F303 chip is selected as the MCU of the system,and SRK2401 A chip is selected as the integrated radar chip.The software implementation process is designed for the three modules of system initialization,data acquisition,and data processing,and a test platform is constructed to test the speed and distance measurement system.Under the parameters and test conditions selected in this paper,the ranging accuracy reaches within 10 mm,and the speed measurement accuracy reaches within 5%,indicating that the system has good speed and ranging performance and has strong feasibility.