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毫米波汽车防撞雷达多目标识别算法仿真 被引量:6

Simulation of multi-target recognition algorithm of millimeter-wave automotive anti-collision radar
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摘要 毫米波汽车防撞雷达系统一般工作在24、77 GHz频段,以高精度测速、测距为目标,旨在提高行车安全系数、提供更加舒适的驾驶环境,避免严重交通事故发生。汽车防撞雷达一般采用调频连续波(frequency modulated continuous wave,FMCW)体制,传统的FMCW雷达难以解决多目标准确检测问题,在此基础上提出了一种新的调制波形和多目标检测算法,仿真结果表明该方法可以在多目标环境下剔除虚假目标,进而准确识别目标,提高了防撞雷达系统的可靠性。 Millimeter-wave automotive anti-collision radar systems,which generally work in 24,77 GHz frequency band,aim at measuring speed and distance with high precision,so as to enhance the safety factor of driving. It provides more comfortable driving environment,and prevents serious traffic accidents. Automotive anti-collision radar generally adopts frequency-modulated continuous wave( FMCW) system. However,it is hard for the traditional FMCW radar to accurately detect multiple targets. On this basis,this paper proposes a new modulation waveform and multi-target detecting algorithm. The simulation result shows this method can remove false targets in the multitarget situation and accurately detect the target and enhance the reliability of anti-collision radar.
出处 《应用科技》 CAS 2015年第6期52-57,共6页 Applied Science and Technology
基金 航空科学基金资助项目(201401P6001)
关键词 信息处理技术 防撞雷达 调频连续波 多目标检测 虚假目标 information processing technology anti-collision radar frequency-modulated continuous wave multitarget detection false targets
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