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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hassanien, A. Vorobyov, S.A. Kon Max Wong |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, AB (Hassanien, A.; Vorobyov, S.A.) |
| Abstract | In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed steering vectors and to use this difference to correct the erroneous presumed steering vector. The estimation process is performed iteratively where a quadratic convex optimization problem is solved at each iteration. Unlike other robust beam-forming techniques, our algorithm does not assume that the norm of the mismatch vector is upper bounded, and hence it does not suffer from the negative effects of over/under estimation of the upper bound. Simulation results show the effectiveness of the proposed algorithm. |
| Starting Page | 2345 |
| Ending Page | 2348 |
| File Size | 217479 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414833 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2008.4518117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Array signal processing Signal processing algorithms Upper bound Iterative algorithms Adaptive arrays Sensor arrays Narrowband Quadratic programming Adaptive signal processing mathematical programming adaptive arrays parameter estimation robustness |
| Content Type | Text |
| Resource Type | Article |
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