2-D spatial smoothing for multipath coherent signal separation
2-D spatial smoothing for multipath coherent signal separation
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DOI：
10.1109/7.670322
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发表时间：
1998-04-01
影响因子：
4.4
通讯作者：
Liu, KJR
中科院分区：
文献类型：
--
作者：
Wang, HY;Liu, KJR
讨论了利用二维空间平滑（SS）来提高无线通信系统的信道容量。定义并证明了将扩频应用于多信号分类（MUSIC）和自适应波束形成算法的阵元配置的充分必要条件。该阵列必须具有方向不变性结构，具有无模糊中心阵列，并且子阵列的数量必须大于。或者等于最大相干信号组的大小。我们还研究了在多径环境中的歧义的原因。我们发现的必要条件和充分条件的三个传感器阵列流形是模糊的，并确定了几个高阶模糊的情况。如果阵列也是中心对称的，则可以使用前向/后向SS（FBSS）来提高分辨率。最后，我们将我们的结果扩展到通过旋转不变技术（ESPRIT）的信号参数估计。所有的预测结果都得到了仿真验证。
The use of two-dimensional spatial smoothing (SS) to increase channel capacity of wireless communications system is discussed. The necessary and sufficient conditions on array configuration for applying SS to multiple signal classification (MUSIC), and adaptive beamforming algorithms are defined and proved. This array must have an orientational invariance structure with an ambiguity free center array, and the Dumber of subarrays must be larger than. or equal to the size of the largest group of coherent signals. We also studied the cause of ambiguities in a multipath environment. We found the necessary and sufficient conditions for a three-sensor array manifold to be ambiguity free and identified several higher order ambiguity situations. If an array is also central symmetric, the forward/backward SS (FBSS) can be used to improve the resolution. Finally, we extended our results to the estimation of signal parameters via rotational invariance techniques (ESPRIT). All the predicted results are verified by simulations.