Abstract
We present two efficient algorithms for distributed estimation of channels in massive MIMO systems. The two cases of 1) generic, and 2) sparse channels is considered. The algorithms estimate the impulse response for each channel observed by the antennas at the receiver (base station) in a coordinated manner by sharing minimal information among neighboring antennas. Simulations demonstrate the superior performance of the proposed methods as compared to other methods.
| Original language | English |
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| Title of host publication | 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 401-404 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479919635 |
| DOIs | |
| State | Published - 2015 |
Publication series
| Name | 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 |
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Bibliographical note
Publisher Copyright:© 2015 IEEE.
ASJC Scopus subject areas
- Signal Processing
- Computational Mathematics