Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar

Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar
复制标题

自适应归零成形可减轻国家气象雷达试验台相控阵雷达上的地面杂波

DOI:
--
复制
发表时间:
2016
影响因子:
8.2
通讯作者:
J. Lake
J. Lake
中科院分区:
工程技术1区
文献类型:
--
作者:
C. Curtis;M. Yeary;J. Lake

文献摘要

被引文献

相似文献

随着相控阵天线成本的下降,其在天气监测中的应用变得更加实用。可应用于天气监测的相控阵的一个显着优势是空间滤波。使用自适应归零来空间过滤杂波是一种新颖的杂波抑制方法,而传统的抛物面反射器天线无法实现这一点。此外,当只有少数脉冲可供处理时,空间滤波还适用于相控阵特定技术,例如波束复用和自适应扫描;这种情况对于传统的地面杂波滤波器来说尤其具有挑战性。国家气象雷达测试台相控阵雷达 (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都用于显示同时存在天气和地面杂波的反射率和速度数据。检查所选距离门的多普勒频谱,以说明自适应零成形的性能。探讨了估计协方差矩阵所需的样本数量等问题。据我们所知,这是首次使用此类技术来减轻天气监视雷达上的地面杂波污染。
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.