智能天线无线定位新技术

Youssef Khmou, S. Safi
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引用次数: 0

摘要

本文讨论了利用一维智能天线对远场准时源的窄带到达方向(DoA)进行估计,第一部分利用数据二阶统计量的QR分解得到的正交矩阵Q,给出了一种新的基于子空间的传播算子表达式,然后利用指数递减算子提出了一种新的高分辨率技术。它是由几种物理定律启发而来的函数,该矩阵函数可以利用谱矩阵的最小特征值进行调节。所引入的机制允许对系统的特征值进行近似二值化,以获得进入噪声子空间的投影。此外,我们证明,如果发射信号的功率是已知的先验,一个准确的估计噪声功率可以使用谱矩阵的对角分量计算。采用非均匀线性阵列进行了数值模拟,结果表明该方法与基于特征空间的光谱技术具有相同的分辨能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New radiolocation technique for intelligent antennas
This paper treats the estimation of narrowband Direction of Arrival (DoA) of far field and punctual sources using one dimensional smart antennas, in the first part we demonstrate a new expression of the propagator operator which is subspace based technique, using the orthonormal matrix Q obtained from QR factorization of data's second order statistics, next we present a new high resolution technique using the decreasing exponential operator, which is a function inspired from several physics laws, this matrix function is adjustable using minimum eigenvalue of spectral matrix. The introduced mechanism allows an approximate binarization of system's eigenvalues to obtain a projector into the noise subspace. Additionally we demonstrate that if the powers of transmitted signals are known a priori, an accurate estimation of noise power can be calculated using the diagonal components of spectral matrix. Numerical simulation is presented using a non uniform linear array, the obtained results verify that the proposed technique has the same resolution power as the eigenspace based spectral techniques.
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