Abstract
In this paper we present a deterministic worst-case framework for accurate reconstruction of discrete (source) data as an alternative to the traditional probabilistic approaches in the communications area. This framework can be explored based on robust control ideas and formulations. Some of the particular problems touched upon are: (i) necessary and sufficient conditions for causal (no delay) and noncausal (with delay) reconstruction under deterministic magnitude bounded noise for SISO and MIMO channels, (ii) reconstruction based on linear estimation, (iii) performance optimization under channel fading and (iv) combined precoding and estimation optimization under power constraints. The ℓ1 control theory is proposed as a natural key player in this approach.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3985-3990 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 4 |
| State | Published - 2001 |
| Externally published | Yes |
| Event | 40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States Duration: Dec 4 2001 → Dec 7 2001 |
Keywords
- Communications
- Equalization
- ℓ optimal
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization