COLD阵列近场源定位
发布时间：2019-02-26 08:59
【摘要】：利用特殊极化敏感阵列极化域的旋转不变性,提出了一种基于交叉偶极子-磁环天线(COLD)阵的近场源闭式定位算法.与现有方法相比,该算法无需高维搜索和高阶累积量运算,也无需参数配对,计算效率高;无需阵列具有对称结构,阵列孔径利用率高.COLD阵方法无需高阶项舍弃,与交叉偶极子阵方法相比,也不涉及接收模型的近似假设,性能更优越并可实现无偏定位.计算机仿真验证了所提算法的有效性.
[Abstract]:Based on the rotation invariance of polarization domain of special polarization sensitive array, a near-field closed source localization algorithm based on cross dipole-magnetic ring antenna (COLD) array is proposed. Compared with the existing methods, the algorithm does not require high-dimensional search and high-order cumulant operation, and also does not require parameter matching, so it has high computational efficiency. There is no need for the array to have symmetric structure and the array aperture utilization ratio is high. Compared with the cross dipole array method, the cold array method does not need to abandon the high-order terms and does not involve the approximate assumption of the receiving model, so the performance is better and the unbiased localization can be realized. The effectiveness of the proposed algorithm is verified by computer simulation.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家自然科学基金资助项目(61072098,61072099)
【分类号】：TN911.7
，
本文编号：2430625
[Abstract]:Based on the rotation invariance of polarization domain of special polarization sensitive array, a near-field closed source localization algorithm based on cross dipole-magnetic ring antenna (COLD) array is proposed. Compared with the existing methods, the algorithm does not require high-dimensional search and high-order cumulant operation, and also does not require parameter matching, so it has high computational efficiency. There is no need for the array to have symmetric structure and the array aperture utilization ratio is high. Compared with the cross dipole array method, the cold array method does not need to abandon the high-order terms and does not involve the approximate assumption of the receiving model, so the performance is better and the unbiased localization can be realized. The effectiveness of the proposed algorithm is verified by computer simulation.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家自然科学基金资助项目(61072098,61072099)
【分类号】：TN911.7
，
本文编号：2430625
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