A Review on ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques
A Review on ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques
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发表时间：
2013-07
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通讯作者：
Karan Sharma;Sandeep Santosh
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作者：
Karan Sharma;Sandeep Santosh
高分辨率信号参数估计是信号处理中的一个重要问题。这些应用包括波达方向（DOA）估计，系统辨识和时间序列分析。一个新的方法来属！描述了信号参数估计问题。虽然在到达方向估计的上下文中进行了讨论，但FSPRIT可以应用于各种各样的问题，包括噪声中正弦波的准确检测和估计。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旋转不变性结构。当适用时，该技术与先前的算法（诸如MEM、Capon的MLM和MISIC）相比具有显著的性能和计算优势。
High-resolution signal parameter estimation is a problem of significance in many signal processing applications. Such applications include directionof-arrival (DOA) estimation, system identifica tion, and time series analysis. A novel approach to the genera! Problem of signal parameter estimation is described. Although discussed in the context of direction-of-arrival estimation, FSPRIT 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 rotational invariance structure. The technique, when applicable, mani fests significant performance and computational advantages over previous algorithms such as MEM, Capon's MLM, and Ml SIC.