The signal subspace approach for multiple wide-band emitter location
The signal subspace approach for multiple wide-band emitter location
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DOI：
10.1109/tassp.1983.1164233
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发表时间：
1983-12
期刊：
影响因子：
--
通讯作者：
G. Su;M. Morf
中科院分区：
文献类型：
--
作者：
G. Su;M. Morf
提出了信号子空间方法的有理向量空间泛化方法，并将其应用于从多个传感器接收到的信号估计多个宽带发射极位置。将Schmidt首先提出的信号子空间和阵列流形的概念推广到有理向量空间。这些概念被用来发展有理信号子空间理论和证明信号子空间定理，而信号子空间算法是基于这些定理的。将该理论应用于离散时间，利用传感器输出的多元有理数模型的单位圆特征分解，导出了一类有理数信号子空间算法，用于源定位和频谱估计。本课程将介绍一种演算法的模拟结果，包括蒙特卡罗实验的样本统计，以及与Cramer-Rao界的比较。
The rational vector space generalization of the signal subspace approach is presented and applied to the estimation of multiple wide-band emitter locations from the signals received at multiple sensors. The signal subspace and array manifold concepts first introduced by Schmidt are generalized to rational vector space. These concepts are used to develop the rational signal subspace theory and prove the signal subspace theorem, on which signal subspace algorithms are based. The theory is applied in discrete time to derive a class of rational signal subspace algorithms for source location and spectral estimation using unit circle eigendecomposition of multivariate rational models of sensor outputs. Simulation results are presented for an algorithm in this class, including sample statistics from Monte Carlo trials and comparisons with the Cramer-Rao bound.