Abstract
In this paper, we derive a lower bound on the MSB matrix of training-based channel estimators for MIMO systems over fast-varying fading channels. To this end, we consider an ideal estimator that is able to estimate the long-term features of the channel (e.g., second order statistics, delays,..) with high accuracy while tracking the fast-varying fading fluctuations in optimum (MMSE) way. The bound on the MSB matrix is a valuable tool as a reference to assess the performance of any proposed estimator and it is proved to reduce to known results for simplified settings.
Original language | English (US) |
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Pages (from-to) | 69-72 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 5 |
State | Published - 2003 |
Externally published | Yes |
Event | 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: Apr 6 2003 → Apr 10 2003 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering