ESPRIT - ESTIMATION OF SIGNAL PARAMETERS VIA ROTATIONAL INVARIANCE TECHNIQUES
ESPRIT - ESTIMATION OF SIGNAL PARAMETERS VIA ROTATIONAL INVARIANCE TECHNIQUES
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DOI：
10.1109/29.32276
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发表时间：
1989-07-01
期刊：
影响因子：
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通讯作者：
KAILATH, T
中科院分区：
文献类型：
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作者：
ROY, R;KAILATH, T
描述了信号参数估计的一般问题的一种方法。该算法不同于它的前身，在总最小二乘，而不是一个标准的最小二乘准则。虽然在到达方向估计的上下文中进行了讨论，但ESPRIT可以应用于各种各样的问题，包括精确检测和估计噪声中的正弦曲线。它利用了一个潜在的旋转不变性之间的信号子空间引起的传感器阵列的平移不变性结构。该技术，在适用的情况下，表现出显着的性能和计算优势，比以前的算法，如MEM，Capon的MLM，和MUSIC。<>
An approach to the general problem of signal parameter estimation is described. The algorithm differs from its predecessor in that a total least-squares rather than a standard least-squares criterion is used. Although discussed in the context of direction-of-arrival estimation, ESPRIT can be applied to a wide variety of problems including accurate detection and estimation of sinusoids in noise. It exploits an underlying rotational invariance among signal subspaces induced by an array of sensors with a translational invariance structure. The technique, when applicable, manifests significant performance and computational advantages over previous algorithms such as MEM, Capon's MLM, and MUSIC.<>