Optimal array processing for non-stationary signals
Optimal array processing for non-stationary signals
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DOI：
10.1109/icassp.1996.550152
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发表时间：
1996-05
期刊：
影响因子：
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通讯作者：
P. Chevalier
中科院分区：
文献类型：
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作者：
P. Chevalier
最佳阵列滤波问题主要包括实现复杂的线性时不变（TI）滤波器，在一些可能的约束条件下优化输出端的二阶准则并假设信号平稳。这种方法对于平稳信号是最优的，但是对于非平稳信号变得次优，对于非平稳信号，最优复数滤波器是时变的（TV），并且在非圆性的某些条件下是宽线性的（WL）。本文的目的是证明这些结果，轻轻触摸电视滤波器的实现问题，给一个意义上的经典方法为非平稳信号，并显示，在一个特定的例子借用无线电通信领域，WL结构的兴趣相对于线性的非平稳环境。
The optimal array filtering problem consists mainly of implementing a complex linear and time invariant (TI) filter, optimizing a second order criterion at the output, under some possible constraints and assuming stationary signals. This approach is optimal for stationary signals, but becomes sub-optimal for non-stationary signals for which the optimal complex filters an time variant (TV) and, under some conditions of non-circularity, widely linear (WL). The purpose of this paper is to demonstrate these results, to touch lightly on the implementation problems of TV filters, to give a sense to the classical approach for non-stationary signals and to show, on a particular example borrowed from the radiocommunications field, the interest of WL structures with respect to linear ones in non-stationary environments.