Frequency Estimation of Short Range Radar Using Adaptive FIR Notch Filter and SAGC for Velocity Detection

Pannipa Chinakaew, Sakkarin Sinchai, P. Wardkein, J. Koseeyaporn
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引用次数: 0

Abstract

This research proposes the velocity detection for short range radar using an adaptive FIR notch filter and a sinusoidal automatic gain control scheme (SAGC). A HB 100 module with amplifying gain of 20 times produces Doppler signal and this signal is fed to a laptop through a sound card with sampling frequency of 8000 Hertz. The signal is processed by the SAGC to amplify the amplitude of the signal to be unity. To detect the frequency of the signal, an algorithm of indirect frequency estimation based on adaptive FIR notch filter is performed. After that, the resulting frequency is converted to velocity. All procedures in this work are processed by MATLAB program. The results of the proposed method have better signal to noise ratio compared with existing method. In addition, the presented work consumes low computational time.
基于自适应FIR陷波滤波器和SAGC的近程雷达频率估计
本文提出了一种基于自适应FIR陷波滤波器和正弦自动增益控制(SAGC)的近程雷达速度检测方法。一个放大增益为20倍的hb100模块产生多普勒信号,该信号通过采样频率为8000赫兹的声卡馈送到笔记本电脑。信号经过SAGC处理,将信号的幅值放大到一个单位。为了检测信号的频率,提出了一种基于自适应FIR陷波滤波器的间接频率估计算法。之后,得到的频率被转换成速度。本工作的所有程序均采用MATLAB程序进行处理。与现有方法相比,该方法具有更好的信噪比。此外,所提出的工作消耗较少的计算时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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