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卫星导航终端的阵列稀疏抗干扰算法

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针对导航终端抗干扰常用的技术手段中空时联合处理在工程应用中存在计算量过大的问题,提出一种基于空间相关系数的空时阵列稀疏算法:利用天线子集与空间相关系数结合来最大化信号和干扰的空间分离;并通过泰勒逼近得到最优天线子集.仿真结果表明,该算法得到的稀疏阵列性能近似于满阵列,其计算量为满阵列的 34.3%.
Array sparse anti-jamming algorithm for satellite navigation terminals
Aiming at the problem of excessive computation in engineering applications for space time joint processing that is a commonly used technical means for anti-jamming of navigation terminals,the paper proposed a spatial correlation coefficient-based sparse algorithm for airtime array:antenna subsets combined with spatial correlation coefficients were used to maximize the spatial separation of signal and interference,and the optimal antenna subset was obtained by Taylor approximation.Simulational results showed that the performance of the sparse array obtained by the proposed algorithm could approximate the full array,while its computational effort would be 34.3%of the full array.

global navigation satellite system(GNSS)space time joint processingsuppressive interferencespatial correlation coefficientarray antennaarray sparse algorithm

常嵩雨、贾学东、陈国军

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信息工程大学,郑州 450001

全球卫星导航系统(GNSS) 空时联合处理 抑制干扰 空间相关系数 阵列天线 阵列稀疏算法

2024

导航定位学报

导航定位学报

CSTPCD北大核心
影响因子:0.72
ISSN:
年,卷(期):2024.12(6)