Compressive Time Delay Estimation using Interpolation

被引：0

作者：

Fyhn, Karsten ^{[1
]}

Jensen, Soren Holdt ^{[1
]}

Duarte, Marco F. ^{[2
]}

机构：

[1] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark

[2] Univ Massachusetts, Dept Elect & Comp Engn, Amherst, MA 01003 USA

来源：

2013 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2013年

关键词：

Compressive sensing; time delay estimation; parameter estimation; interpolation;

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：

We show that compressive sensing (CS) applied to time delay estimation (TDE) simultaneously enables a reduction in the sampling frequency and preserves good estimation precision. With CS, we seek to recover signals and parameters from an under-determined system of linear equations by assuming sparsity in a known dictionary. A common problem in CS is that the observed signals may not be sparsely representable in the dictionary. This problem also occurs in TDE as the delay parameter is a continuous parameter. We remedy this issue by combining CS with interpolation.

引用

页码：624 / 624

页数：1

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