Radar Communication Integrated Waveform Design And Interference Suppression

In an era when spectrum resources are scarce,the development of system integration will become a trend.The combination of radar and communication enables integrated waveform to realize information transmission and radar detection functions in the system simultaneously,reducing the waste of spectrum resources and saving equipment cost resources.In the research of radar communication integration,waveform design has undoubtedly become a hot issue.A good waveform can combine the advantages of communication and radar,inhibit interference in harsh environments,and bring more challenges and unknowns.Therefore,this thesis starts with the research from the direction of integrated waveform design,and simultaneously considers the interference problems caused by various factors and performs interference suppression,including the following three aspects:1.Based on the design scheme of the full shared signal of radar communication,this thesis proposes to embed the gaussian minimum shift keying(GMSK)modulated communication sequence into the frequency modulated continuous wave(FMCW)radar sequence to form an integrated GMSK-FMCW waveform.At the same time,the integrated system is designed,including the signal processing module in the transmitter and receiver.The communication and radar performance of the GMSK-FMCW integrated waveform is verified through system simulation environment simulation,and other integrated waveforms are compared according to performance indicators such as power spectral density,bit error rate,ambiguity function,and moving target detection.The results show that the integration waveform and system proposed in this thesis have good performance in communication and radar detection.2.Aiming at the interference problem between radar and communication in the integrated system,a wavelet denoising combined independent component separation algorithm is proposed,and the idea of blind source separation is introduced to improve the receiving end of the integrated system.The independent component separation part adopts the joint approximation diagonalization of eigen-matrices(JADE)algorithm based on the accurate solution of statistical characteristics and the complex maximization of non-gaussianity(CMN)algorithm based on the approximate solution of the high-order characteristics of nonlinear functions.Joint wavelet denoising firstly performs environmental noise reduction,and secondly performs signal separation,so as to suppress the interference between radar and communication.3.Aiming at the problem of interference between integrated signals,this thesis simulates the integrated signal transmission scene in the Internet of Vehicles,and proposes a complex multi-target integrated detection model.The ramp filtering(RFmin)algorithm,iterative method with adaptive thresholding(IMAT)algorithm and interference estimation elimination algorithm are used to suppress the interference between integrated signals.The applicability of the three types of algorithms is compared by distance signal to interference and noise ratio(SINR),speed SINR,error vector magnitude(EVM),constant false alarm rate(CFAR),moving target detection,bit error rate,etc.The results show that the IMAT algorithm has a better effect in the interference suppression between integrated signals.Finally,combining the above three points,this thesis further improves the GMSK-FMCW integrated system to realize interference-free information transmission and radar detection.