Super-Fast Algorithm for Minimum Variance (Capon) Spectral Estimation

被引:0
|
作者
Marple, S. Lawrence, Jr. [1 ]
Adeli, Majid [1 ]
Liu, Huaping [1 ]
机构
[1] Georgia Tech Res Inst, Sensors & Electromagnet Applicat Lab, Smyrna, GA 30080 USA
关键词
Minimum variance spectral estimation; spectral analysis; maximum likelihood spectral estimation; computational complexity; linear prediction;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The minimum variance spectral estimator (sometimes referenced as the Capon spectral estimator, or the minimum variance distortion-less response estimator) is a high resolution spectral estimator used extensively in practice as an alternative to the classical squared-magnitude Fourier estimator. In its original form without special algorithms, the one-dimensional formulation requires order p(3) computations, in which p is the minimum variance filter size. The current implementation used in practice employs a fast algorithm developed by Musicus, requiring order p(2) + plog(2)(2p) computations. This paper shows discoveries of additional exploitable structure to bring the computational complexity down to p + plog(2)(2p), creating a superfast algorithm. Furthermore, by exploiting a differential relationship between two quantities in this structure, an approximated version of the proposed algorithm with an even lower computational complexity is derived.
引用
收藏
页码:1832 / 1836
页数:5
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