International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The expectation-maximization (EM) algorithm is well established as a computationally efficient
method for separable signal parameter estimation. Here, a new geometric derivation and
interpretation of the EM algorithm is given that facilitates the understanding of its convergence
properties. Geometric considerations then lead to an alternative separable signal parameter estimator
based on successive cancellation. The new Generalized Successive Interference Cancellation
(GSIC) algorithm may offer better performance than EM in the presence of large signal power
disparities. Finally, application of the GSIC algorithm to CDMA-based radiolocation is discussed,
and simulation results are presented.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/606455 |
| Date | 10 1900 |
| Creators | Iltis, Ronald A., Kim, Sunwoo |
| Contributors | University of California |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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