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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yih-Min Chen Ju-Hong Lee Chien-Chung Yeh |
| Copyright Year | 1990 |
| Description | Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Yih-Min Chen; Ju-Hong Lee; Chien-Chung Yeh) |
| Abstract | Most high-resolution bearing estimation algorithms have been based on the assumption of a far-field source environment. When this assumption is violated, i.e., when some sources are in the near field, these algorithms generally show unsatisfactory performance. An algorithm to tackle this problem using a uniform linear array is proposed. The observed signal covariance matrix of near-field sources is equivalently viewed as a corrupted measurement of the ideal signal covariance matrix of far-field sources located at the same bearings. A far-field approximation (FFA) covariance matrix is reconstructed from the observed covariance matrix to reduce the corruptions. Therefore, existing high-resolution bearing estimation techniques (e.g., MUSIC) can be directly applied to estimate the bearings of the near-field sources. Simulation results demonstrating the effectiveness of this approach are presented.< |
| Sponsorship | IEEE |
| Starting Page | 1474 |
| Ending Page | 1477 |
| File Size | 161772 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/APS.1990.115393 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-05-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Direction of arrival estimation Covariance matrix Sensor arrays Narrowband Shape measurement Multiple signal classification Signal resolution Sensor phenomena and characterization Phase measurement Power measurement |
| Content Type | Text |
| Resource Type | Article |
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