Adaptive mainbeam jamming suppression for multi-function radars

T. Nohara, P. Weber, A. Premji
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引用次数: 5

Abstract

One aspect of naval defence involves surveillance of the airspace in the vicinity of one's vessel. Both high-altitude and low-altitude missiles must be detected, tracked and targeted. A multi-function radar (MFR) that uses an electrically steerable pencil beam (phased array) to search the volume around the ship can provide the required capability. Monopulse sum and difference beams (azimuth and elevation) are provided to yield high resolution direction of arrival (DOA) estimates for detected targets, improving ship defence capabilities against modern threats. This paper is concerned with robust estimation of low-altitude targets such as sea skimming missiles for the challenging case where horizon-based jammers are present in the antenna's mainbeam. By exploiting the properties of the monopulse beams, spatially adaptive algorithms are developed that provide simultaneous mainbeam nulling and high-resolution target DOA estimation. Simulation results demonstrate the detection and estimation performance achievable. DOA estimates using suitably derived MUSIC (multiple signal classification), ML (maximum likelihood) and corrected adaptive monopulse (CAM) algorithms are compared.
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多功能雷达自适应主波束干扰抑制
海军防御的一个方面是监视自己船只附近的空域。高空和低空导弹都必须被探测、跟踪和瞄准。一种多功能雷达(MFR)使用一种电动可操纵的铅笔波束(相控阵)来搜索舰艇周围的体积,可以提供所需的能力。单脉冲和和差波束(方位和仰角)提供对探测到的目标产生高分辨率到达方向(DOA)估计,提高舰艇防御现代威胁的能力。针对天线主波束中存在水平基干扰机的情况,研究了掠海导弹等低空目标的鲁棒估计问题。利用单脉冲波束的特性,开发了空间自适应算法,同时提供主波束零化和高分辨率目标DOA估计。仿真结果表明,该方法的检测和估计性能是可以达到的。使用适当衍生的MUSIC(多信号分类),ML(最大似然)和校正的自适应单脉冲(CAM)算法对DOA估计进行了比较。
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