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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Sparse Nested Arrays With Spatially Spread Square Acoustic Vector Sensors for High-Accuracy Underdetermined Direction Finding
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Sparse Nested Arrays With Spatially Spread Square Acoustic Vector Sensors for High-Accuracy Underdetermined Direction Finding

机译：具有空间扩展的方形声学矢量传感器的稀疏嵌套阵列，用于高精度是无数的方向发现

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摘要

In acoustic sensing systems, acoustic vector sensor (also known as vector hydrophone for underwater applications) arrays are widely used. Most of the acoustic vector sensor array signal processing methods presume the minimum spacing between two adjacent sensors or sensor components to be within a half-wavelength in order to avoid azimuth-elevation angle estimation aliasing. This would limit the effective array aperture, thereby reducing the potential estimation accuracy. Furthermore, they are unapplicable to the underdetermined scenarios, where the number of sources exceeds that of sensor components. Exploiting the recently proposed nested array concept, we present a new type of nested array, termed as Sparse Nested spatially spread Square Acoustic Vector sensor Array (SNSAVA) to realize underdetermined 2-D direction finding with increased estimation accuracy. In SNSAVA, interspacing of two sensors and two components of a sensor can be spread to be much higher than a half-wavelength so that the effective array aperture will be significantly extended. An unambiguous angle estimation method is further derived to make this fully sparse array configuration practically feasible. Performance studies focused on underdetermined high-accuracy azimuth-elevation angle estimation are provided via numerical examples. The estimation performance for the SNSAVA is also compared with that of the nested acoustic vector sensor arrays, proposed in [33], and with the Cramer-Rao bound.
机译：在声学传感系统中，广泛使用声学传感器（也称为用于水下应用的矢量水管）阵列。大多数声学矢量传感器阵列信号处理方法在两个相邻的传感器或传感器元件之间占据在半波长内的最小间隔，以避免方位角升高角度估计混叠。这将限制有效的阵列孔径，从而降低了电位估计精度。此外，它们无法适用于未确定的场景，其中源的数量超过传感器组件的数量。利用最近提出的嵌套阵列概念，我们介绍了一种新型的嵌套阵列，称为稀疏嵌套空间扩展的方形声学矢量传感器阵列（SNSAVA），以实现有没有提高的估计精度的二维的2-D方向查找。在SnSava中，两个传感器的间隙和传感器的两个部件可以扩散到远高于半波长，从而将显着延伸有效阵列孔径。进一步导出明确的角度估计方法以使这种完全稀疏的阵列配置实际上是可行的。通过数值示例提供了专注于未确定的高精度方位升高角估计的性能研究。 SNSAVA的估计性能也与[33]中提出的嵌套声学矢量传感器阵列的估计性能进行了比较，并且与爬行员绑定。

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