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Resampling methods for stretch processing in PCL radars

机译:PCL雷达中拉伸处理的重采样方法

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摘要

The paper presents a study of effective resampling techniques to be used for stretch processing in Passive Coherent Location radars. In a typical PCL radar, two signals are correlated: one coming from a reference antenna pointed at a transmitter of opportunity, other coming from a search antenna pointed at the observed area, seeking the reflection of radio signal from a target. If the second antenna receives an echo from a moving target, the correlation of the two signals is disturbed by Doppler effect, consisting of frequency shift and envelope dilation. In order to compensate for this second effect, the reference signal has to be stretched (or dilated) by resampling. In the paper the review of applicable resampling methods is performed. The useful method should give results good enough for the correlation process, and it has to be very fast in the implementation, as the processing is to be done in real time.
机译:本文提出了一种有效的重采样技术的研究,该技术将用于无源相干定位雷达的拉伸处理。在典型的PCL雷达中,两个信号是相关的:一个来自指向机会发射机的参考天线,另一个来自指向观察区域的搜索天线,以寻找目标的无线电信号反射。如果第二天线接收到来自移动目标的回波,则两个信号的相关性会受到多普勒效应的干扰,该多普勒效应包括频移和包络扩张。为了补偿第二种效果,必须通过重新采样来扩展(或扩展)参考信号。在本文中,对适用的重采样方法进行了回顾。有用的方法应为关联过程提供足够好的结果,并且在实现中必须非常快,因为要实时进行处理。

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