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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jensen, Jesper Rindom Liao, Guisheng Wu, Yuntao Amir, Leshem |
| Copyright Year | 2015 |
| Abstract | In this paper, the problem of joint multi-pitch and direction-of-arrival (DOA) estimation for multichannel harmonic sinusoidal signals is considered. A spatio-temporal matrix signal model for a uniform linear array is defined, and then the ESPRIT method based on subspace techniques that exploits the invariance property in the time domain is first used to estimate the multi pitch frequencies of multiple harmonic signals. Followed by the estimated pitch frequencies, the DOA estimations based on the ESPRIT method are also presented by using the shift invariance structure in the spatial domain. Compared to the existing state-of-the-art algorithms, the proposed method based on ESPRIT without 2-D searching is computationally more efficient but performs similarly. An asymptotic performance analysis of the DOA and pitch estimation of the proposed method are also presented. Finally, the effectiveness of the proposed method is illustrated on a synthetic signal as well as real-life recorded data. |
| Starting Page | 32 |
| Ending Page | 45 |
| Page Count | 14 |
| File Format | |
| ISSN | 23299290 |
| e-ISSN | 23299304 |
| DOI | 10.1109/TASLP.2014.2367817 |
| Volume Number | 23 |
| Issue Number | 1 |
| Journal | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-01-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | DOA estimation ESPRIT Performance analysis Pitch estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology |
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