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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pourhomayoun, M. Fowler, M.L. Wu, N.E. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Binghamton Univ., P.O. Box 6000, NY 13902-6000, USA (Pourhomayoun, M.; Fowler, M.L.; Wu, N.E.) |
| Abstract | In classical TDOA/FDOA emitter location methods, pairs of sensors share the received data to compute the CAF and extract the ML estimates of TDOA/FDOA. The TDOA/FDOA estimates are then transmitted to a common site where they are used to estimate the emitter location. However, the two-stage method is not necessarily optimal because in the first stage of these methods, the TDOA and FDOA are estimated by ignoring the fact that all measurements should be consistent with a single emitter location. In this paper, we derive a one-stage localization method based on spatial sparsity of the grid plane. In this method, we directly estimate the location of the emitter without going through the intermediate stage of TDOA/FDOA estimation. The Monte Carlo simulation results show that the proposed method has better performance compared to two-stage classic method and also to another available one-stage method named Direct Position Determination (DPD). We will show that the proposed method is also a very effective and beneficial solution to deal with multipath scenarios. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 137762 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467331395 |
| e-ISBN | 9781467331401 |
| e-ISBN | 9781467331388 |
| DOI | 10.1109/CISS.2012.6310710 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Doppler shift Frequency Difference of Arrival (FDOA) Compressive Sensing (CS) Monte Carlo methods Estimation Time Difference of Arrival (TDOA) Vectors Sensors Delay Cross Ambiguity Function (CAF) Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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