基于硬件约束的压缩感知到达方向估计的自适应感知矩阵设计

Berkan Kiliç, M. Kalfa, O. Arikan
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引用次数: 3

摘要

压缩感知(CS)技术能够在各种应用中降低硬件复杂性,包括使用天线阵列进行到达方向(DoA)估计。在基于CS的DoA估计系统中,天线单元的模拟输出被一个称为传感矩阵的矩阵压缩,压缩后进行数字化。这种操作减少了硬件实现中模数转换器的数量。然而,通常没有考虑到由传感矩阵的硬件实现产生的约束,这可能会大大增加系统的复杂性。在这项研究中,我们提出了一种新的自适应传感矩阵设计方法,包括这些硬件实现约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Sensing Matrix Design in Compressive Sensing Based Direction of Arrival Estimation with Hardware Constraints
Compressive sensing (CS) techniques are able to decrease hardware complexity in various applications including direction of arrival (DoA) estimation using antenna arrays. In CS based DoA estimation systems, analog outputs of the antenna elements are compressed by a matrix called sensing matrix and digitized after compression. This operation reduces the number of analog-to-digital converters in the hardware implementation. However, constraints resulting from hardware implementation of sensing matrices are not considered in general which can drastically increase the system complexity. In this study, we propose a novel adaptive sensing matrix design methodology by including such hardware implementation constraints.
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