基于物联网进行汽车智能测距,可以实现汽车车距的准确控制,对汽车安全设计和智能防撞控制具有重要意义.传统的汽车测距系统设计方法采用多处理器接口测距方法,随着物联网中汽车节点数据增加而测距效果不好.提出基于传感节点数据融合和分布式程序控制的汽车智能测距系统设计方法.首先构建汽车智能测距系统设计的总体模型,给出基于宽带自模糊度特征提取的车辆测距算法.基于物联网的汽车智能测距系统包括了超声波雷达信号的声学基阵、测距雷达信号收发转换和功率放大器以及模拟信号预处理机这三大部分.系统具有测距数据的测量、智能测距的回波模拟、多车道数据记录分析、上位机通信、多通道可编程信号处理等功能.采用TI5000 系列DSP进行测距核心编程,实现系统硬件模块设计和软件编程设计.实验结果表明,采用该系统,具有较好的测距精度,稳定性和可靠性较好.%The automobile intelligent range-finding based on the Internet of Things can realize the accuracy control of the distance between automobiles. It is significant for the safety design and the intelligent collision avoidance control of automobiles. The traditional design method of the automobile range-finding system adopts the range-finding method of multi-processor inter-face,and the range-finding effect is getting bad with the increasing of the automobile's node data in the Internet of Things. The design method of the automobile intelligent range-finding system based on sensor node data fusion and distributed program con-trol is proposed. The overall design model of the automobile range-finding system is constructed,and the automobile range-finding algorithm based on the feature extraction of the broadband self-ambiguity is provided. The automobile intelligent range-finding system based on the Internet of Things is composed of three parts(acoustic array of ultrasonic radar signal,transmitting-receiv-ing conversion of the range-finding radar signal and power amplifier,and analog signal preprocessor). The system has the func-tions of the measurement of the range-finding data,echo simulation of intelligent range-finding,recording and analysis of multi-lane data,communication of host computer,and processing of the multi-channel programmable signal. The range-finding core programming is carried on by adopting TI 5000 Series DSP to realize the design of hardware module and software programming in the system. The experimental results show that the system has high range-finding accuracy,great stability and high reliability.
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