一种基于多次采样的幅相测量自适应算法

X. Xiong, A. Zielinski
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引用次数: 3

摘要

在许多与水下传感、导航和定位相关的实际应用中,需要对窄带信号进行精确的幅度和相位测量。现有的相位和幅度测量方法或算法,如同相和正交检测或正交采样是有用的,但缺乏适应不断变化的条件的能力。为了克服这一限制,我们提出了一种基于多次采样的自适应算法,该算法允许根据变化的条件修改某些参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive Algorithm for Amplitude and Phase Measurements Based on Multiple Sampling
Precise amplitude and phase measurement of a narrowband signal is required in many practical applications related to underwater sensing, navigation, and positioning. Existing methods or algorithms of phase and amplitude measurement such as in-phase and in-quadrature detection or quadrature sampling are useful, but lack capabilities to adapt to changing conditions. To overcome this limitation, we propose an adaptive algorithm based on multiple sampling that allows modification of certain parameters in response to changing conditions.
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