Abstract
We study the location of local minima of the finite sample approximation to the constant modulus cost function. This paper concentrates on source separation. The main result is a connection between the number of samples and the probability of obtaining a local minimum of the finite approximation within a given sphere around the local minimum of the CM cost function. The motivations for our study are two problems: equalization of communication signals, and blind separation of a desired signal in multiuser environment. In order to maintain simplicity we focus on the case of blind beamforming which is somewhat simpler to analyze.
| Original language | English |
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| Title of host publication | CommunicationsSensor Array and Multichannel Signal Processing |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2537-2540 |
| Number of pages | 4 |
| ISBN (Electronic) | 0780362934 |
| DOIs | |
| State | Published - 2000 |
| Externally published | Yes |
| Event | 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey Duration: 5 Jun 2000 → 9 Jun 2000 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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| Volume | 5 |
| ISSN (Print) | 1520-6149 |
Conference
| Conference | 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 5/06/00 → 9/06/00 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.