摘要
在利用微波干涉进行高速运动目标参数测试过程中,噪声是影响测试数据处理精度的关键因素,文章通过分析微波干涉信号的基本特点,利用小波变换与精确时域处理相结合的方法,对运动目标干涉信号进行了处理,得到了平滑的测试曲线,提高了数据处理结果的精度.同时该方法也可用于其他高噪变频数据的频率提取,具有通用性.
In using microwave interference to test the high-speed moving objects parameters, the noise is the key to influence the precision of data processing. On the analysis of the elementary characteristics of microwave interference signals, the methods based on wavelet transform and exact time-domain data processing are put forward to process the signals. Not only smooth testing curve is obtained but also the signal processing precision is effectively improved. In addition the methods can be used for frequency extract of other signals with high-noise and altering frequency and are of certain universality.
引文
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