| With the rapid development of automotive industry, more and more people pay attention to thesecurity problems brought by automobiles. The anti-collision radar system is an importantdevelopment direction of automobile active safety technology and an effective solution reducing thetraffic accidents. The whole automobile anti-collision system consists of lane change auxiliary radar(LCA), blind spot detection radar (BSD) and forward collision avoidance radar. LCA radar is anintelligent warning system used in highway to prevent the dangerous driving during a lane changing.Upon the basis of others’ research, this paper takes an in-depth study in LCA radar system.This paper designs a prototype of LCA, which is capable of measuring distance, velocity andangle of target. It adopts FMCW system. Based on the collected information, LCA will alert driver toavoid the potential collision. This paper includes the following main contents:Firstly, after analyzing overall function and main task of system, the performance index and themodulation waveform are determined.Secondly, we introduce the hardware system and software indetail. The system consists of24GHz radar front end, signal conditioning circuit and digital signal processing part. The processoradopts FPGA+DSP structure. The system uses FFT, automatic threshold detection algorithm andmonopulse Angle measurement algorithm to compute the distance, velocity and angle of target. Thispaper gives the main derivation, simulation and implementation of the algorithm.Thirdly, much theoretical analysis is done based on the data acquired from the experiments. Asthe result, the LCA system achieves the designed goal under the system’s each index. According tothe warning threshold, this system can make a right operation.Finally, we take triangle FMCW with random slope as the transmit wave to solve theinterference problem between the multiple radars. The simulation proves that waveform to be areasonable solution without increasing the complexity of hardware. |
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