Distributed Compressive Sensing: Performance analysis with diverse signal ensembles

Sung Hsien Hsieh, Wei Jie Liang, Chun Shien Lu, Soo Chang Pei

研究成果: Conference contribution

摘要

Distributed compressive sensing is a framework considering jointly sparsity within signal ensembles along with multiple measurement vectors (MMVs). The current theoretical bound of performance for MMVs, however, is derived to be the same with that for single MV (SMV) because the characteristics of signal ensembles are ignored. In this work, we introduce a new factor called "Euclidean distances between signals" for the performance analysis of a deterministic signal model under MMVs framework. We show that, by taking the size of signal ensembles into consideration, MMVs indeed exhibit better performance than SMV. Although our concept can be broadly applied to CS algorithms with MMVs, the case study conducted on a well-known greedy solver, called simultaneous orthogonal matching pursuit (SOMP), will be explored in this paper. We show that the performance of SOMP, when incorporated with our concept by modifying the steps of support detection and signal estimations, will be improved remarkably, especially when the Euclidean distances between signals are short. The performance of modified SOMP is verified to meet our theoretical prediction.

原文English
主出版物標題25th European Signal Processing Conference, EUSIPCO 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1324-1328
頁數5
ISBN(電子)9780992862671
DOIs
出版狀態Published - 2017 十月 23
事件25th European Signal Processing Conference, EUSIPCO 2017 - Kos, Greece
持續時間: 2017 八月 282017 九月 2

出版系列

名字25th European Signal Processing Conference, EUSIPCO 2017
2017-January

Conference

Conference25th European Signal Processing Conference, EUSIPCO 2017
國家Greece
城市Kos
期間17-08-2817-09-02

All Science Journal Classification (ASJC) codes

  • Signal Processing

引用此

Hsieh, S. H., Liang, W. J., Lu, C. S., & Pei, S. C. (2017). Distributed Compressive Sensing: Performance analysis with diverse signal ensembles. 於 25th European Signal Processing Conference, EUSIPCO 2017 (頁 1324-1328). [8081423] (25th European Signal Processing Conference, EUSIPCO 2017; 卷 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/EUSIPCO.2017.8081423