相控阵雷达中认知自适应阵列处理(CAAP)在各种干扰情况下的性能分析

S. Elayaperumal, G. Rathna
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引用次数: 3

摘要

在具有单元级数字波束形成的相控阵雷达中,与样本矩阵反演(SMI)技术相比,认知自适应阵列处理(CAAP)技术允许自适应干扰消除,计算负荷非常非常小。先前发表的关于该技术的论文对具有单元级数字波束形成的线性阵列进行了带SMI的CAAP性能分析。本文首先建立了一个数学模型来模拟平面阵列中各种情况下的干扰机和目标信号。其次,针对与实际应用相适应的平面阵列,对带SMI的CAAP进行了性能分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Cognitive Adaptive Array Processing (CAAP) in Phased Array Radar for Various Jammer Scenarios
In phased array radar with element level digital beamforming, Cognitive Adaptive Array Processing (CAAP) technique allows adaptive jammer cancellation with very very less computational load compared to the Sample Matrix Inversion (SMI) technique. Previously published paper on this technique showed the performance analysis of CAAP with SMI for a linear array with element level digital beamforming. In this paper firstly, a mathematical model is developed to simulate the jammer and target signal with various scenarios for a planar array. Secondly performance analysis of CAAP with SMI is done for planar array with the sizes corresponding to the practical use.
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