首页> 外国专利> A radar signal processing device using a weighted Kalman filter and a target detection system using the same

A radar signal processing device using a weighted Kalman filter and a target detection system using the same

机译:使用加权卡尔曼滤波器的雷达信号处理装置和使用该雷达信号处理装置的目标检测系统

摘要

The present invention relates to a radar signal processing apparatus and a target detection system using the same. The radar signal processing apparatus of the present invention comprises: a digital beam former (DBF) for synthesizing signals received for each antenna on the basis of an output signal of a first window, and outputting the synthesized signals for each beam; a second window for applying a window function for reducing a leakage error occurring during fast fourier transform for the synthesized signals; a fast Fourier transformer (FFT) for performing the fast fourier transform for an output signal of the second window; a weight calculator for calculating a weight in accordance with power of bit frequencies of the output signal of the FFT; a constant false alarm rate (CFAR) detector for selecting specific bit frequencies by applying a variable detection threshold for the output signal of the FFT; an estimator for estimating information including a distance, a speed and an azimuth angle of a target from the selected bit frequencies; and a Kalman filter for tracking the target in consideration with weighted power calculated by the weight calculator.
机译:雷达信号处理装置和目标检测系统技术领域本发明涉及雷达信号处理装置和使用该雷达信号处理装置的目标检测系统。本发明的雷达信号处理设备包括:数字波束形成器(DBF),用于基于第一窗口的输出信号来合成针对每个天线接收的信号,并输出针对每个波束的合成信号;以及第二窗口,用于应用窗口函数以减少在快速傅立叶变换期间对于合成信号发生的泄漏误差;快速傅立叶变换器(FFT),用于对第二窗口的输出信号执行快速傅立叶变换;权重计算器,用于根据FFT的输出信号的比特频率的功率计算权重;恒定误报率(CFAR)检测器,用于通过为FFT的输出信号应用可变检测阈值来选择特定的比特频率;估计器,用于从所选择的比特频率估计包括目标的距离,速度和方位角的信息;卡尔曼滤波器,用于利用权重计算器计算的加权功率跟踪所考虑的目标。

著录项

  • 公开/公告号KR20180095320A

    专利类型

  • 公开/公告日2018-08-27

    原文格式PDF

  • 申请/专利权人 OMNISENSOR INC.;

    申请/专利号KR20170021643

  • 发明设计人 CHOI SEOUNG;

    申请日2017-02-17

  • 分类号G01S7/35;G01S13/28;G01S13/53;

  • 国家 KR

  • 入库时间 2022-08-21 12:39:13

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