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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, Y.D. Si Qin Amin, M.G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Center for Adv. Commun., Villanova Univ., Villanova, PA, USA (Zhang, Y.D.; Si Qin; Amin, M.G.) |
| Abstract | In this paper, we consider a problem of near-field source localization using the sensor-angle distribution (SAD) that views the source range and direction-of-arrival (DOA) information as sensor-dependent phase progression. The SAD draws parallel to quadratic time-frequency distributions and, as such, is able to reveal the changes in the spatial frequency over sensor positions. In particular, for a moderate source range, the SAD signature is of polynomial shape, thus simplifying the parameter estimation. We consider sparse arrays where the array sensors are located on a grid but with missing positions. Sparse reconstruction techniques are used to estimate the SAD in the joint space and spatial frequency domain, and the results are then mapped back to source range and DOA estimation for source localization. The effectiveness of the proposed technique is verified using simulation results. |
| Starting Page | 0891 |
| Ending Page | 0895 |
| File Size | 217235 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479982325 |
| DOI | 10.1109/RADAR.2015.7131121 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Time-frequency analysis Sensor arrays Direction-of-arrival estimation Signal to noise ratio Estimation Frequency modulation Frequency estimation |
| Content Type | Text |
| Resource Type | Article |
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