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机构地区:[1]同济大学电子与信息工程学院,上海201804
出 处:《通信技术》2016年第11期1453-1458,共6页Communications Technology
基 金:上海市自然科学基金(No.14ZR1442700)~~
摘 要:基于毫米波雷达的多目标检测与跟踪是智能驾驶领域的研究热点,其中雷达波形的设计是算法的核心。但是,目前主流的基于LFMCW波形的汽车毫米波雷达检测算法存在着"虚警高、检测周期长、无法检测相对静止目标、算法复杂度高"等问题。因此,将FSK波形与LFMCW波形结合,提出了一种新的步进LFMCW雷达波形,并设计与实现了相应算法。该算法能够缩短检测周期,提高系统响应速度,大幅降低算法的复杂度。通过在多种场景下对新的雷达波形算法进行仿真,结果表明新波形可以很好地进行多目标检测,并能同时分辨运动目标和相对静止目标,且性能可靠稳定。Radar target detection and tracking based on millimeter wave becomes a research hotspot in the field of intelligent driving. Radar waveform design is the core of the algorithm, and however the current mainstream waveform detection algorithms based on FMCW have the problems like false alarm, long testingcycle, difficult detecting of stationary targets and fairly high algorithm complexity. Thus by combining FSK waveform with LFMCW waveform, a new waveform of Step - LFMCW is proposed, which, with corresponding algorithm, can shorten the testing cycle, improve the system response speed and greatly reduce the algorithm complexity. And the simulation in multiple sciences indicates that the new waveform is fairly good in multitarget detection and distinguishing moving targets from stationary targets simultaneously, and reliable and stable in performance.
分 类 号:TN929[电子电信—通信与信息系统]
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