Modelling the ionospheric effects in HF radar long term integration

Marie Jose Abi Akl, F. Jangal, M. Darces, M. Hélier
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引用次数: 3

Abstract

High Frequency radars usually use reflected waves from ionosphere to perform continuous surveillance of very large and far off areas. In the case of long term integration, the ionosphere instability affects the radar image and thus induces poor detection and high probability of false alarm. This problem appears in surveillance issues dealing with slow targets such as vessels. Such an issue also occurs in surface wave radar due to the lack of directivity of the transmitting antennas. In this paper, we propose probabilistic models of the ionosphere effects assuming that only the phase path fluctuation has a meaning in the radar point of view. Different models have been built and compared to a real case. It appears that the deviation in range and Doppler are meaningful. These models will be integrated in the radar processing in order to synthetize highly realistic radar data and estimate the radar parameters in case of turbulent ionosphere (i.e. range-Doppler shifts and uncertainties as well as detection and false alarm probabilities). The obtained results will be presented during the EuCAP 2016 conference.
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高频雷达长期积分中电离层效应的模拟
高频雷达通常使用来自电离层的反射波对非常大的和遥远的区域进行连续监视。在长期积分的情况下,电离层的不稳定性会影响雷达图像,从而导致较差的探测和较高的虚警概率。这一问题出现在针对船只等慢速目标的监视问题中。由于发射天线缺乏方向性,在表面波雷达中也会出现这样的问题。在本文中,我们提出了电离层效应的概率模型,假设只有相位路径波动在雷达角度上有意义。建立了不同的模型,并与实际情况进行了比较。在距离和多普勒偏差看来是有意义的。这些模型将被整合到雷达处理中,以合成高度真实的雷达数据,并估计在湍流电离层情况下的雷达参数(即距离-多普勒频移和不确定性以及探测和误报警概率)。研究结果将在EuCAP 2016会议上发表。
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