SUBSPACE-BASED FREQUENCY ESTIMATION UTILIZING PRIOR INFORMATION

被引：0

作者：

Wirfalt, Petter ^{[1
]}

Bouleux, Guillaume ^{[2
,3
]}

Jansson, Magnus ^{[1
]}

Stoica, Petre ^{[4
]}

机构：

[1] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Elect Engn Signal Proc Lab, Stockholm, Sweden

[2] Univ Lyon 1, Lyon, France

[3] Univ St Etienne, St Etienne, France

[4] Uppsala Univ, Syst & Control Div, S-75105 Uppsala, Sweden

来源：

2011 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2011年

基金：

欧洲研究理事会;

关键词：

Frequency estimation; Parameter estimation; Rotating machines; Failure analysis; PARAMETER-ESTIMATION; INDUCTION MACHINES; ROTOR; DIAGNOSIS;

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：

In certain frequency estimation applications one or more of the underlying frequencies are known. For example, in rotary machines the known frequency may be a strong network frequency masking important closely spaced frequencies. Being able to include this information in the design of the estimator can be expected to improve the performance when estimating such closely spaced frequencies. We present a framework to include such prior information in a class of subspace-based estimators. Through Monte Carlo simulations and real-data applications we show the usefulness of our approach.

引用

页码：533 / 536

页数：4

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