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Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter
arXiv - EE - Signal Processing Pub Date : 2022-09-27 , DOI: arxiv-2209.13280
Linlong Wu, Mohammad Alaee-Kerahroodi, M. R. Bhavani Shankar

Pulse compression can enhance both the performance in range resolution and sensitivity for weather radar. However, it will introduce the issue of high sidelobes if not delicately implemented. Motivated by this fact, we focus on the pulse compression design for weather radar in this paper. Specifically, we jointly design both the subpulse codes and extended mismatch filter based on the alternating direction method of multipliers (ADMM). This joint design will yield a pulse compression with low sidelobes, which equivalently implies a high signal-to-interference-plus-noise ratio (SINR) and a low estimation error on meteorological reflectivity. The experiment results demonstrate the efficacy of the proposed pulse compression strategy since its achieved meteorological reflectivity estimations are highly similar to the ground truth.

中文翻译:

通过子脉冲和扩展失配滤波器的联合设计改进脉冲压缩天气雷达

脉冲压缩可以提高气象雷达的距离分辨率和灵敏度性能。但是,如果不精心实施,它将引入高旁瓣问题。受此启发,本文重点研究气象雷达的脉冲压缩设计。具体来说,我们基于乘法器交替方向法 (ADMM) 联合设计了子脉冲编码和扩展失配滤波器。这种联合设计将产生具有低旁瓣的脉冲压缩,这等效地意味着高信干噪比 (SINR) 和对气象反射率的低估计误差。实验结果证明了所提出的脉冲压缩策略的有效性,因为其实现的气象反射率估计与地面真实情况高度相似。
更新日期:2022-09-28
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