Fast Fourier Transform (FFT) Data Sampling using Hamming and Blackman Method for Radar

Sulistyaningsih, P. Putranto, P. Daud, W. Desvasari
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引用次数: 4

Abstract

In this research, experiments on signal processing on radar system is conducted. Inside radar system, digital signal processing (DSP) and analog-to-digital converter (ADC) are necessary for obtaining the results of image detection using filtering, sampling and windowing method. X-band frequency of 9,3 GHz is used. Frequencies other than 9,26 Ghz – 9,34 GHz are suppressed by filter. One of the methods in designing a finite impulse response (FIR) digital filter is windowing method. In this study, Hamming and Blackman window type are used in QT software. Testing is done by taking 512, 1024 and 16384 frame length. The experiment is done for all frequency bands. Parameters tested in this filter implementation are amplitude response and signal-to-noise ratio (SNR). Experiment result showed no significant difference for both windows. Hence, it is no problem to choose whichever the window from these choice for this system.
雷达快速傅里叶变换(FFT)数据采样
在本研究中,对雷达系统的信号处理进行了实验。在雷达系统内部,为了获得滤波、采样和加窗等图像检测结果,需要数字信号处理(DSP)和模数转换器(ADC)。使用9.3 GHz的x波段频率。除9.26 Ghz - 9.34 Ghz以外的频率被滤波器抑制。设计有限脉冲响应(FIR)数字滤波器的方法之一是加窗法。在本研究中,QT软件采用了Hamming和Blackman窗口类型。测试是通过取512、1024和16384帧长度完成的。该实验适用于所有频段。在该滤波器实现中测试的参数是幅度响应和信噪比(SNR)。实验结果表明,两种窗口无显著差异。因此,从这些选项中选择用于此系统的窗口是没有问题的。
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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