Development of a generic signal processing structure providing array gain improvements for real time systems including 1-dimensional or 2-dimensional arrays of sensors

S. Stergiopoulos, W. Robertson, W. Phillips
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引用次数: 2

Abstract

This investigation aims to define an advanced signal processing structure that will allow the implementation of a wide variety of conventional, adaptive and synthetic aperture signal processing schemes in 1-dimensional (1-D) and 2-dimensional (2-D) real time systems and will exploit processing concept similarities among radar, sonar and medical tomography imaging systems. The long term objective of this project is the re-definition of the current signal processing approach in 1-D and 2-D real time systems by introducing advanced signal processing schemes to account for the effects that cause performance degradation due to the impact of partially correlated noise sources. Preliminary real data results of the advanced signal processing structure implemented in a line array system demonstrate that adaptive and synthetic aperture processing schemes achieve robust performance and provide improvements in array gain for signals embedded in partially correlated noise fields. The performance improvements, however, of the adaptive and synthetic aperture processing schemes are effective only for specific applications. This restriction has been the basis of our generic approach that a synergism between the conventional and advanced processing schemes is required for effective practical use of signal processing developments.
开发一种通用的信号处理结构,为实时系统提供阵列增益改进,包括一维或二维传感器阵列
本研究旨在定义一种先进的信号处理结构,该结构将允许在一维(1-D)和二维(2-D)实时系统中实施各种传统的、自适应的和合成孔径信号处理方案,并将利用雷达、声纳和医学断层成像系统之间的处理概念相似性。该项目的长期目标是通过引入先进的信号处理方案来重新定义当前一维和二维实时系统中的信号处理方法,以解释由于部分相关噪声源的影响而导致性能下降的影响。在线阵系统中实现的先进信号处理结构的初步实际数据结果表明,自适应和合成孔径处理方案对嵌入部分相关噪声场的信号具有鲁棒性,并提高了阵列增益。然而,自适应和合成孔径处理方案的性能改进仅对特定应用有效。这一限制一直是我们的通用方法的基础,传统和先进的处理方案之间的协同作用是信号处理发展的有效实际使用所必需的。
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