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8点FFT是动目标检测系统(MTD)中的重要组成部分。一般MTI系统在强杂波干扰下工作不够理想,而在MTI后面加设对信号匹配的滤波器组,可以使情况大为改善。 FFT可看作为一线性非递归滤波器,可借助它对时域信号作频域分析,本文概述了用中规模中速TTL组件设计制作8点FFT的体会,其特点是运算速度快,一个蝶形运算相当1.33μs,可对脉宽1.61μs的雷达实时处理信息。如进一步采取措施,还可适应更窄的脉宽雷达工作。本文对所使用的加权和取幅方法进行了讨论。对几种方案算出的数据作了对比。为了对FFT运算结果进行检查,本文介绍了专设的检查装置。并将理论推测值和实际运算的数据(前8位进行D/A变为模拟信号)用图片进行了比较,结果是符合的。
The 8-point FFT is an important part of the Moving Target Detection System (MTD). In general, the MTI system does not work well under strong clutter interference. However, adding a filter bank matched with the signal after the MTI can greatly improve the situation. FFT can be seen as a linear non-recursive filter, which can be used to do frequency domain analysis of time-domain signals. This paper outlines the experience of using medium-sized TTL components to design an 8-point FFT. It features fast computation speed, The equivalent of 1.33μs shape operation, the pulse width of 1.61μs radar real-time processing of information. If further measures can be taken, but also to adapt to narrower pulse width radar work. This article discusses the weighting and framing methods used. Comparison of several programs to calculate the data. In order to check the results of the FFT operation, this article describes a dedicated inspection device. And the theoretical guess and the actual operation of the data (the first 8 to D / A into analog signals) were compared with the picture, the result is consistent.