| In recent years,with the development of driverless technology,Li DAR(Light Detection and Ranging,Li DAR)has become a necessary environmental sensing device in unmanned intelligent vehicles.Compared with millimeter wave radar,Li DAR has the advantages of high distance resolution,strong anti-cross interference ability and small size,which can achieve high resolution imaging while measuring distance with high precision.With the large number of Li DAR applications in driverless cars,the traditional pulsed Li DAR is easily interfered by other Li DARs or attacked by human interference,which makes Li DAR detection errors and increases the probability of false alarm,leading to Li DAR misjudgment and traffic accidents.Therefore,the problem of high accuracy imaging of Li DAR and cross interference between Li DARs applied to mobile terminals has been an urgent problem to be solved.To address these problems,this paper uses the chaotic laser generated by the Boolean-chaos signal modulated laser as the radar detection signal,combined with scanning imaging technology,to build a chaotic laser imaging radar system,using simulation and experiment to achieve three-dimensional imaging of the target object,and to test its ability to suppress cross-interference.The Boolean-chaos signal is a random signal with noise-like timing,and therefore has a broadband characteristic in frequency.In addition,the chaotic signal has the advantage of high interference immunity while providing high resolution,which can be applied in scenarios where multiple radars are working simultaneously.Therefore,this paper proposes to combine Boolean-chaos signals with Li DAR for 3D imaging of targets in space.The main research work and experimental results of this paper are summarized as follows.(1)The research progress of existing unmanned Li DAR is summarized and analyzed,and the advantages and disadvantages of different kinds of Li DAR are analyzed in detail.It is proposed to replace the traditional Li DAR transmit signal with Boolean-chaos signal and apply it to 3D imaging of targets in space.(2)The principle of Boolean-chaos signal generation is introduced,and the characteristics of Boolean-chaos signal in time domain and frequency domain are analyzed.The Boolean-chaos Li DAR model is constructed,and the Boolean-chaos Li DAR simulation platform is built based on MATLAB.The 3D imaging capability of Boolean-chaos Li DAR for space targets is analyzed in detail.Build a Boolean-chaos Li DAR hardware experimental platform and an upper computer software system.The distance measurement of the target is realized by using the relevant ranging principle,and the 3D imaging of the target is realized by using 2D scanning on this basis.The target intensity image can also be realized according to the correlation curve coefficient while realizing the target distance image.(3)The anti-cross interference capability of the Li DAR is analyzed through experiments and simulations,and it is verified that the Boolean-chaos Li DAR can achieve stable 3D imaging under different interference signals,and can still image the target clearly when the signal-to-noise ratio is 12 d B.It can achieve high accuracy imaging in a complex multi-radar environment.The ability of Boolean-chaos Li DAR to suppress cross interference when working with multiple radars is verified,and the Li DAR imaging effect under different dry signal-to-noise ratios is quantitatively analyzed.Both simulation and experimental results verify the feasibility of the scheme proposed in this paper. |
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