【摘要】：隨著經(jīng)濟(jì)的發(fā)展，，汽車(chē)越來(lái)越普及，隨之而來(lái)的交通事故也越來(lái)越多，如何有效地降低交通事故發(fā)生率成為了人們不斷追求的目標(biāo)。汽車(chē)防撞雷達(dá)技術(shù)作為提高道路行駛安全、降低交通事故發(fā)生率的有效手段，有著重要的現(xiàn)實(shí)意義和廣闊的應(yīng)用前景，得到了國(guó)內(nèi)外學(xué)者與設(shè)備廠商的廣泛重視和支持。 本文主要針對(duì)毫米波汽車(chē)防撞雷達(dá)的信號(hào)處理方法做了詳細(xì)的分析和研究，并在DSP平臺(tái)上實(shí)現(xiàn)了其應(yīng)用，主要的研究成果如下： 1、確定了雷達(dá)的工作體制，研究了相應(yīng)的工作原理，并提出了雷達(dá)的性能要求。引入了高效的安全距離計(jì)算模型，并驗(yàn)證了該算法的有效性和可靠性； 2、針對(duì)中頻信號(hào)的產(chǎn)生機(jī)理，研究了信號(hào)降噪方法，將自適應(yīng)濾波作為噪聲抵消器應(yīng)用于系統(tǒng)中，有效地降低了噪聲的影響；為了提高檢測(cè)結(jié)果的準(zhǔn)確性，引入了平均單元恒虛警檢測(cè)算法，很大程度上降低了錯(cuò)誤目標(biāo)的檢測(cè)概率，提高了檢測(cè)性能。對(duì)于多目標(biāo)環(huán)境，提出了頻率匹配算法，使其能在復(fù)雜環(huán)境中提取出不同目標(biāo)對(duì)應(yīng)的頻率信息，進(jìn)而檢測(cè)多個(gè)目標(biāo)； 3、根據(jù)系統(tǒng)的應(yīng)用特性，確定了主要器件的選型，并設(shè)計(jì)了數(shù)字信號(hào)處理器的電源和時(shí)鐘電路，通過(guò)D/A與A/D轉(zhuǎn)換，完成了調(diào)制信號(hào)的產(chǎn)生和中頻信號(hào)的采樣； 4、在TMS320F28335DSP平臺(tái)下，完成了A/D采樣、自適應(yīng)濾波、FFT變換、恒虛警檢測(cè)以及頻率匹配等算法，并進(jìn)行了系統(tǒng)軟硬件功能的調(diào)試，實(shí)現(xiàn)了汽車(chē)防撞雷達(dá)信號(hào)處理系統(tǒng)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.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.51

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