Stability Exploitation and Subspace Array Processing.
Stability Exploitation and Subspace Array Processing.
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稳定性开发和子空间阵列处理。
DOI：
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发表时间：
1996
期刊：
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通讯作者：
M. Kotanchek
中科院分区：
文献类型：
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作者：
M. Kotanchek
摘要：检测和表征到达传感器阵列的信号是航空航天、生物医学、地质和声纳信号处理中具有实际重要性的问题。如果可以简化窄带不同信号源的假设，则可以应用所谓的高分辨率技术，也称为特征值方法或信号子空间方法，并提供对环境的完整和明确评估的承诺。这些概念实际应用的障碍之一是对已知噪声结构和精确阵列校准的隐含要求。在这里，我们介绍了一类技术称为子空间稳定性的方法，放宽这些限制，利用信号子空间的时间稳定性。这些被证明是有效地处理声纳阵列数据对传统的子空间处理失败。最有前途的变化是子空间稳定性开发跟踪器（SSET）耦合信号子空间DOA估计算法与多目标跟踪技术，准确的信号枚举和表征。一个新的空间平滑的有效性，允许处理相干波前的证明是使用矢量子空间的角度。这种观点，然后提出了新的算法的相干信号处理。最后，除了开发一个适合在线处理的阵列校准算法，突出的阵列信号处理技术进行了说明，在一个教程的方式和实际方面的性能和实施进行了讨论。
Abstract : Detecting and characterizing signals arriving at a sensor array is a problem of practical importance in aerospace, biomedical, geological, and sonar signal processing. If the simplifying assumption of narrowband distinct signal sources can be made, the so-called high-resolution techniques, which are also known as eigenvalue methods or signal subspace methods, may be applied and offer a promise of complete and unambiguous assessment of the environment. One of the impediments to practical application of these concepts has been implicit requirement for well-known noise structures and precise array calibration. Herein we introduce a class of techniques termed subspace stability methods which relax those restrictions by exploiting the temporal stability of the signal subspace. These are demonstrated to effectively process sonar array data against which conventional subspace processing fails. The most promising variation is the Subspace Stability Exploitation Tracker (SSET) which couples signal subspace DOA estimation algorithms with multiple target tracking techniques for accurate signal enumeration and characterization. A novel proof of the validity of spatial smoothing to permit processing of coherent wavefronts is offered using a vector subspace perspective. This viewpoint then suggests new algorithms for coherent signal processing. Finally, in addition to developing an array calibration algorithm amenable to on-line processing, prominent array signal processing techniques are described in a tutorial fashion and practical aspects of their performance and implementation discussed.