New criteria for blind adaptive arrays

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers Pub Date : 1993-11-01 DOI:10.1109/ACSSC.1993.342595

E. Satorius, J. J. Mulligan, N. Lay

引用次数: 2

Abstract

An alternative methodology for blind adaptive array processing is presented which generalizes the class of cost functions that are currently used. The methodology is based on the separation of independent, but not necessarily identically distributed, statistical components at the array output. Sufficient admissibility criteria are presented for blind adaptive array processing cost functions and examples based on the magnitude of complex, standardized cumulants as well as on order statistics are provided. In addition, a simple procedure for devising new candidate cost functions is discussed that can easily incorporate any available statistical information regarding the specific signal/interference environment of interest.<>

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盲自适应阵列的新准则

提出了一种盲自适应阵列处理的替代方法，该方法对目前使用的成本函数进行了推广。该方法是基于分离独立的，但不一定是相同分布的统计组件在数组输出。给出了盲自适应阵列处理成本函数的充分的可接受准则，并给出了基于复杂量、标准化累积量和阶统计量的例子。此外，还讨论了一种设计新的候选成本函数的简单方法，该方法可以很容易地包含有关感兴趣的特定信号/干扰环境的任何可用统计信息。

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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Proceedings of 27th Asilomar Conference on Signals, Systems and Computers

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