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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tong Zhao Hurtado, M. Nehorai, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Electr. & Syst. Eng., St. Louis Washington Univ., MO, USA (Tong Zhao; Hurtado, M.; Nehorai, A.) |
| Abstract | We develop an adaptive waveform design method for target tracking. In our method, at each time step, we optimally select the parameters, including the polarization of the transmitted signal waveform to improve the tracking accuracy. An array of electromagnetic vector sensors is employed to fully recover the polarimetric information from the reflected signals. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method to manipulate the nonlinear and non-Gaussian state and measurement models. We design a criterion for the waveform optimization based on a posterior Cramer-Rao bound. |
| File Size | 166581 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366436 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electromagnetic wave polarization Target tracking Electromagnetic scattering Radar scattering Design methodology Sensor arrays Bayesian methods Filtering Electromagnetic measurements Radar tracking sequential Monte Carlo methods Adaptive waveform design target tracking sequential Bayesian filtering electromagnetic vector sensors |
| Content Type | Text |
| Resource Type | Article |
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