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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Latyshev, V. |
| Copyright Year | 2008 |
| Description | Author affiliation: Moscow aviation Inst. (state Tech. Univ.), Moscow (Latyshev, V.) |
| Abstract | The subspace-based technique is used for the estimation of the time of arrival and Doppler shift of a signal of the known waveform. The tool to find required subspaces is a special orthogonal decomposition of received data. It allows concentrate Fisher information about desired parameter in a small number of the first terms of the decomposition. This approach offers a low-dimensional vector of sufficient statistics. It leads to computationally efficient Bayes estimation. Besides, it results in expanding of the SNR range for effective ML-estimating. At last, we can obtain independent time arrival and Doppler shift estimations on the base generalized eigenvectors of the matrix pair. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 418840 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788890348204 |
| DOI | 10.1109/TIWDC.2008.4649033 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-03 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Assoc Vito Volterra of Tor Vergate Univ. |
| Subject Keyword | Doppler shift subspace-based technique Accuracy Estimation Channel estimation Time of arrival Vectors Eigenvalues and eigenfunctions Doppler shift estimates Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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