Multistatic radar is a promising option for the low-cost collection of multiple-Doppler weather observations. However, due to the use of low-directivity antennas at the receivers in these systems, they typically suffer from extremely high two-way sidelobe levels compared to monostatic radars. Doppler velocity estimation biases induced by sidelobe contamination have proved to be a significant obstacle to more widespread adoption of this technology. It has been noted in the existing literature that the technique of sidelobe whitening, first developed for use in monostatic systems, has the potential to mitigate this issue. However, the existing sidelobe whitening algorithm is not suitable for use in this application, as it is only capable of achieving whitening in the two-way antenna pattern, whereas an algorithm to be used in the multistatic case must be able to achieve this result in the transmit pattern alone. This article proposes an alternate sidelobe whitening technique based on the method of alternating projections which allows for effective whitening in the one-way antenna pattern. A multistatic weather radar time-series simulator is used in conjunction with numerical weather prediction data to demonstrate the effectiveness of this method in mitigating multiple-Doppler measurement biases.

中文翻译：

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多基地气象雷达通过旁瓣白化降低多普勒速度偏差

多基地雷达是低成本收集多普勒天气观测的一种很有前景的选择。然而，由于在这些系统的接收器上使用低方向性天线，与单基地雷达相比，它们通常会受到极高的双向旁瓣电平的影响。由旁瓣污染引起的多普勒速度估计偏差已被证明是更广泛采用该技术的重大障碍。在现有文献中已经注意到，首先开发用于单站系统的旁瓣白化技术有可能缓解这个问题。然而，现有的旁瓣白化算法不适用于本应用，因为它只能在双向天线方向图上实现白化，而在多基地情况下使用的算法必须能够单独在传输模式中实现这一结果。本文提出了一种基于交替投影方法的交替旁瓣白化技术，该技术允许在单向天线模式中进行有效白化。多基地天气雷达时间序列模拟器与数值天气预报数据结合使用，以证明该方法在减轻多普勒测量偏差方面的有效性。