基于DSP的汽车防撞雷达信号处理系统的设计与实现
发布时间：2019-04-16 19:50
【摘要】：随着经济的发展，，汽车越来越普及，随之而来的交通事故也越来越多，如何有效地降低交通事故发生率成为了人们不断追求的目标。汽车防撞雷达技术作为提高道路行驶安全、降低交通事故发生率的有效手段，有着重要的现实意义和广阔的应用前景，得到了国内外学者与设备厂商的广泛重视和支持。 本文主要针对毫米波汽车防撞雷达的信号处理方法做了详细的分析和研究，并在DSP平台上实现了其应用，主要的研究成果如下： 1、确定了雷达的工作体制，研究了相应的工作原理，并提出了雷达的性能要求。引入了高效的安全距离计算模型，并验证了该算法的有效性和可靠性； 2、针对中频信号的产生机理，研究了信号降噪方法，将自适应滤波作为噪声抵消器应用于系统中，有效地降低了噪声的影响；为了提高检测结果的准确性，引入了平均单元恒虚警检测算法，很大程度上降低了错误目标的检测概率，提高了检测性能。对于多目标环境，提出了频率匹配算法，使其能在复杂环境中提取出不同目标对应的频率信息，进而检测多个目标； 3、根据系统的应用特性，确定了主要器件的选型，并设计了数字信号处理器的电源和时钟电路，通过D/A与A/D转换，完成了调制信号的产生和中频信号的采样； 4、在TMS320F28335DSP平台下，完成了A/D采样、自适应滤波、FFT变换、恒虚警检测以及频率匹配等算法，并进行了系统软硬件功能的调试，实现了汽车防撞雷达信号处理系统的主要功能。
[Abstract]:With the development of economy, cars become more and more popular, and more traffic accidents follow. How to effectively reduce the incidence of traffic accidents has become the goal that people continue to pursue. As an effective means to improve road safety and reduce the incidence of traffic accidents, automotive anti-collision radar technology has an important practical significance and broad application prospects, and has been widely valued and supported by scholars and equipment manufacturers at home and abroad. In this paper, the signal processing method of millimeter wave automobile anti-collision radar is analyzed and studied in detail, and its application on DSP platform is realized. The main research results are as follows: 1. The working system of radar is determined. The corresponding working principle is studied, and the performance requirements of radar are put forward. An efficient safe distance calculation model is introduced, and the validity and reliability of the algorithm are verified. 2. Aiming at the generation mechanism of intermediate frequency signal, the method of signal noise reduction is studied. The adaptive filter is used as noise canceller in the system, which reduces the influence of noise effectively. In order to improve the accuracy of the detection results, the average cell CFAR detection algorithm is introduced, which greatly reduces the detection probability of false targets and improves the detection performance. For multi-target environment, a frequency matching algorithm is proposed, which can extract the corresponding frequency information of different targets in complex environment, and then detect multiple targets. 3According to the application characteristics of the system, the selection of the main components is determined, and the power supply and clock circuit of the digital signal processor are designed. The generation of the modulated signal and the sampling of the intermediate frequency signal are completed through the conversion between DJA and AXD. 4. Under the platform of TMS320F28335DSP, the algorithms such as A / D sampling, adaptive filtering, FFT transform, CFAR detection and frequency matching are completed, and the hardware and software functions of the system are debugged. The main function of automobile anti-collision radar signal processing system is realized.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
本文编号：2459051
[Abstract]:With the development of economy, cars become more and more popular, and more traffic accidents follow. How to effectively reduce the incidence of traffic accidents has become the goal that people continue to pursue. As an effective means to improve road safety and reduce the incidence of traffic accidents, automotive anti-collision radar technology has an important practical significance and broad application prospects, and has been widely valued and supported by scholars and equipment manufacturers at home and abroad. In this paper, the signal processing method of millimeter wave automobile anti-collision radar is analyzed and studied in detail, and its application on DSP platform is realized. The main research results are as follows: 1. The working system of radar is determined. The corresponding working principle is studied, and the performance requirements of radar are put forward. An efficient safe distance calculation model is introduced, and the validity and reliability of the algorithm are verified. 2. Aiming at the generation mechanism of intermediate frequency signal, the method of signal noise reduction is studied. The adaptive filter is used as noise canceller in the system, which reduces the influence of noise effectively. In order to improve the accuracy of the detection results, the average cell CFAR detection algorithm is introduced, which greatly reduces the detection probability of false targets and improves the detection performance. For multi-target environment, a frequency matching algorithm is proposed, which can extract the corresponding frequency information of different targets in complex environment, and then detect multiple targets. 3According to the application characteristics of the system, the selection of the main components is determined, and the power supply and clock circuit of the digital signal processor are designed. The generation of the modulated signal and the sampling of the intermediate frequency signal are completed through the conversion between DJA and AXD. 4. Under the platform of TMS320F28335DSP, the algorithms such as A / D sampling, adaptive filtering, FFT transform, CFAR detection and frequency matching are completed, and the hardware and software functions of the system are debugged. The main function of automobile anti-collision radar signal processing system is realized.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
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