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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar
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Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar

机译：自适应零成形以减轻国家气象雷达试验台相控阵雷达上的地物杂波

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摘要

With the decreasing cost of phased array antennas, their use for weather surveillance is becoming more practical. A significant advantage of phased arrays that can be applied to weather surveillance is spatial filtering. Using adaptive nullforming to spatially filter clutter is a novel approach to clutter mitigation, which is not possible with conventional parabolic reflector antennas. Moreover, spatial filtering is also applicable to phased-array-specific techniques such as beam multiplexing and adaptive scanning when only a few pulses are available for processing; this situation is particularly challenging for conventional ground clutter filters. The National Weather Radar Testbed Phased Array Radar (NWRT PAR) provides an opportunity to test some of these new capabilities. In this paper, a linearly constrained minimum power algorithm with an additional quadratic constraint is applied to weather data collected using the NWRT PAR and its multichannel receiver. Both the original algorithm and a recursive least squares version are utilized to show reflectivity and velocity data where both weather and ground clutter are present. Doppler spectra from selected range gates are examined to illustrate the performance of adaptive nullforming. Issues such as the number of samples needed to estimate the covariance matrix are explored. As far as we know, this is the first time that these types of techniques have been used to mitigate ground clutter contamination on a weather surveillance radar.
机译：随着相控阵天线成本的降低，将其用于天气监视变得越来越实用。可以应用于天气监视的相控阵的显着优势是空间滤波。使用自适应零点成形来对杂波进行空间滤波是一种减轻杂波的新颖方法，这是常规抛物面反射器天线无法实现的。此外，当只有几个脉冲可用于处理时，空间滤波还适用于特定于相控阵的技术，例如光束复用和自适应扫描。对于传统的地面杂波滤波器，这种情况尤其具有挑战性。美国国家气象雷达试验台相控阵雷达（NWRT PAR）提供了测试其中一些新功能的机会。在本文中，将具有附加二次约束的线性约束最小功率算法应用于使用NWRT PAR及其多通道接收器收集的天气数据。原始算法和递归最小二乘版本均用于显示同时存在天气和地面杂波的反射率和速度数据。检查了来自选定测距门的多普勒频谱，以说明自适应零点成形的性能。探索了诸如估计协方差矩阵所需的样本数量之类的问题。据我们所知，这是第一次将这些类型的技术用于减轻天气监视雷达上的地面杂波污染。

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