New radiolocation technique for intelligent antennas

Youssef Khmou, S. Safi
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Abstract

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.
智能天线无线定位新技术
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。
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