Research On Triangular Wave Radar Signal Processing Technology

Triangular wave radar,also known as triangle frequency modulation continuous wave radar.As a kind of linear frequency modulation continuous wave radar,the triangle frequency modulation continuous wave radar is widely used in engineering.With the advantages of low interception probability,high distance resolution,and simple structure,it has attracted extensive attention in recent years and its application fields are expanding.Therefore,it's very important to study the signal processing technology of the triangle frequency modulation continuous wave radar.In order to range accurately in a complex scene with multiple targets and moving targets,this thesis studies the signal processing technology of triangular wave radar.First of all,this thesis describes the composition of the triangular wave radar system and the principle of ranging velocity measurement,and draws up a detailed analysis of the radar system signals.Then,this thesis introduces the whole process of radar signal processing,makes a brief analysis of each step of the signal processing flow,focuses on the algorithm of spectrum matching,and finally proposes the method to improve the detection accuracy from the perspective of FFT and spectrum matching ideas.And then,based on the idea of improving the detection accuracy,this thesis analyzes the spectral inaccuracies caused by the beat-frequency signal FFT due to the FFT fence effect,which affects the spectrum matching performance and the detection accuracy.In order to overcome the FFT fence effect and obtain a more accurate spectrum of the difference frequency signal,this thesis introduces the discrete spectrum correction technique into the radar signal processing.Therefore,the thesis then briefly analyzes several current mainstream spectrum correction algorithms and proposes a method of energy centroid matching based on the degree of coincidence between the spectrum correction algorithm and the spectrum matching algorithm.Then,this thesis thoroughly studies the energy center of gravity method.The research shows that in different frequency offset the energy center of gravity method correction performance undulates intensely,which will cause the radar detection results to undulate.So it can not well suited for applications that require high accuracy and small error fluctuations of the radar system measurements.In order to solve this problem,this thesis proposes an optimized energy center of gravity method.By adjusting the frequency offset,the method overcomes the defect that the energy center of gravity method correction performance undulates intensely in different frequency offset.Optimized energy center of gravity method can be used in the spectral matching,that is,the optimized energy center of gravity matching method.Afterwards,in order to verify the performance of the two new methods of energy centroid pairing method and optimized energy centroid matching method proposed in this thesis,this thesis designs the radar signal processing flow simulation and simulates the real radar signal processing flow.According to the simulation results,the new method can effectively improve the detection accuracy,and the optimized energy center of gravity method can be much better at controlling the fluctuation of the detection result error.Finally,based on the Software-defined radio(SDR)platform,this thesis presents a DSP implementation of the energy centroid matching method,and tests the radar system to verify that the new method can effectively improve the radar detection accuracy.