Data acquisition and signal processing on FMCW navigation radar system

D. Kurniawan, O. Heriana, T. Praludi, Ros Sariningrum
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引用次数: 1

Abstract

Data acquisition and Signal Processing is an important part of frequency modulated continuous wave (FMCW) radar system. In recent year P2ET-LIPI was developing FMCW navigation radar system in portable size. The main component of data acquisition for navigation radar is highspeed Analog to Digital Conversion (ADC) USB-2020 board and signal processing algorithm has been developed using Visual C# 2015 Community Edition. USB-2020 board has two channel ADC on board with 12 bits resolution and operated in a burst-io mode to get maximum sampling rate at 20 MS/s. A timing generator for synchronization between ADC and linear frequency modulation (LFM) chirp generator is developed using Complex Programmable Logic Device (CPLD) Max II series based on VHSIC hardware description language (VHDL). Signal processing unit consists of windowing function to reduce side- lobe suppression, Fast Fourier Transform (FFT) function to get range information and adaptive threshold using three algorithms of Constant False Alarm Rate (CFAR): Cell Averaging (CA), Order Statistic (OS) and Variable Index (VI) CFAR. The experiment shows that the data acquisition module can capture In-phase and Quadrature (I/Q) beat signal and signal processing algorithm can detect object/target from the noise.
FMCW导航雷达系统的数据采集与信号处理
数据采集与信号处理是调频连续波(FMCW)雷达系统的重要组成部分。近年来,P2ET-LIPI正在开发便携式FMCW导航雷达系统。导航雷达数据采集的主要组件是高速模数转换(ADC) USB-2020板,信号处理算法使用Visual c# 2015 Community Edition开发。USB-2020板上有两个12位分辨率的通道ADC,并在突发io模式下工作,以获得20 MS/s的最大采样率。基于VHSIC硬件描述语言(VHDL),利用复杂可编程逻辑器件(CPLD) Max II系列开发了一种用于ADC和线性调频(LFM)啁啾发生器同步的时序发生器。信号处理单元由减小旁瓣抑制的窗口函数、获取距离信息的快速傅里叶变换(FFT)函数和采用恒虚警率(CFAR)算法的自适应阈值组成:单元平均(CA)、顺序统计(OS)和变指数(VI) CFAR。实验表明,该数据采集模块可以捕获相和正交(I/Q)拍信号,信号处理算法可以从噪声中检测出目标。
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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