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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brown, G.C. McClellan, J.H. Holder, E.J. |
| Copyright Year | 1991 |
| Description | Author affiliation: Georgia Inst. of Technol., Atlanta, GA, USA (Brown, G.C.; McClellan, J.H.; Holder, E.J.) |
| Abstract | An eigenstructure approach for array processing with imperfect sensors is presented. Each sensor is modeled as having an unknown angularly independent gain error with an unknown angularly dependent phase error. The technique is capable of compensating for many sources of error: sensor location error, channel mismatch, unknown sensor phase patterns, and types of environmental inhomogeneities. The algorithm first determines estimates of the perturbed steering vectors, and then uses these to obtain angle of arrival (AOA) estimates. It can be used in calibration applications since the sensor perturbations are estimated in addition to the AOA of the sources. Each iteration of the algorithm consists of a Newton minimization step, but first a constraint is enforced by a mapping into the feasible set. Computer simulations are presented to illustrate the performance of the algorithm.< |
| Starting Page | 3037 |
| Ending Page | 3040 |
| File Size | 368511 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780300033 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1991.150095 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-04-14 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Array signal processing Calibration Sensor arrays Phase distortion Uncertainty Narrowband Phase noise Tellurium Application software Minimization methods |
| Content Type | Text |
| Resource Type | Article |
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