A Novel Joint Dimensionality-Reduced Adaptive Clutter Suppression Method for Space-Based Early Warning Radar Utilizing Frequency Diversity Array

Tianfu Zhang;Yunkai Deng;Yongliang Wang
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Abstract

Due to the platform characteristics of space-based early warning radar (SBEWR), the system exhibits a high degree of freedom (DOF) in receiving sea and ground clutter, which complicates the achievement of adequate adaptive clutter suppression performance. To address this challenge, this article proposes a joint dimensionality-reduced adaptive clutter suppression method based on a frequency diverse array (FDA) for SBEWR. First, a pulse parameter joint design scheme tailored to FDA-SBEWR is introduced, which mitigates the impact of range ambiguity on received clutter. Second, a joint dimensionality-reduced structure design method is developed, focusing on received clutter data. This approach significantly reduces the computational resource demands of the adaptive system while satisfying the DOF requirements for signal processing, thereby ensuring excellent clutter suppression performance for SBEWR. The simulation results demonstrate the effectiveness of the proposed method.
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利用频率分集阵列的新型天基预警雷达联合降维自适应杂波抑制方法
由于天基预警雷达(SBEWR)的平台特性,该系统在接收海杂波和地面杂波时表现出很高的自由度(DOF),这使得实现充分的自适应杂波抑制性能变得复杂。为解决这一难题,本文提出了一种基于频率多样化阵列(FDA)的 SBEWR 联合降维自适应杂波抑制方法。首先,介绍了为 FDA-SBEWR 量身定制的脉冲参数联合设计方案,该方案可减轻范围模糊性对接收杂波的影响。其次,针对接收到的杂波数据,开发了一种联合降维结构设计方法。这种方法在满足信号处理的 DOF 要求的同时,大大降低了自适应系统的计算资源需求,从而确保 SBEWR 具有出色的杂波抑制性能。仿真结果证明了所提方法的有效性。
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