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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing
| Title: | DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing |
| Authors: | Terada, Tsubasa Browse this author | | Nishimura, Toshihiko Browse this author →KAKEN DB | | Ogawa, Yasutaka Browse this author →KAKEN DB | | Ohgane, Takeo Browse this author →KAKEN DB | | Yamada, Hiroyoshi Browse this author |
| Keywords: | DOA estimation | | multi-band signal | | compressed sensing | | Khatri-Rao product | | sparse signal reconstruction |
| Issue Date: | Oct-2014 |
| Publisher: | Institute of Electronics, Information and Communication Engineer(IEICE) |
| Journal Title: | IEICE Transactions on Communications |
| Volume: | E97B |
| Issue: | 10 |
| Start Page: | 2110 |
| End Page: | 2117 |
| Publisher DOI: | 10.1587/transcom.E97.B.2110 |
| Abstract: | Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That method has a higher probability of correct estimation than a single-band DOA estimation method using CS. In this paper, we propose novel DOA estimation methods for multi-band signals with frequency characteristics using the Khatri-Rao product. First, we formulate a method that can estimate DOAs of multiband signals whose phases alone have frequency dependence. Second, we extend the scheme in such a way that we can estimate DOAs of multi-band signals whose amplitudes and phases both depend on frequency. Finally, we evaluate the performance of the proposed methods through computer simulations and reveal the improvement in estimation performance. |
| Rights: | Copyright ©2014 The Institute of Electronics, Information and Communication Engineers |
| Relation: | http://search.ieice.org/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/57543 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 西村 寿彦
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