A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems
Yen-Huan Li, Borching Su, Ping-Cheng Yeh

TL;DR
This paper derives a Cramer-Rao bound for semi-blind channel estimation in redundant block transmission systems, providing a fundamental performance limit useful for system design and analysis.
Contribution
It introduces a general CRB applicable to systems with full-rank linear redundant precoders, including OFDM, and simplifies CRB derivation for complex parameters.
Findings
CRB applicable to OFDM and similar systems
Simplified CRB forms for complex parameters
Provides a lower bound for unbiased semi-blind estimators
Abstract
A Cramer-Rao bound (CRB) for semi-blind channel estimators in redundant block transmission systems is derived. The derived CRB is valid for any system adopting a full-rank linear redundant precoder, including the popular cyclic-prefixed orthogonal frequency-division multiplexing system. Simple forms of CRBs for multiple complex parameters, either unconstrained or constrained by a holomorphic function, are also derived, which facilitate the CRB derivation of the problem of interest. The derived CRB is a lower bound on the variance of any unbiased semi-blind channel estimator, and can serve as a tractable performance metric for system design.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Techniques · Wireless Communication Networks Research · PAPR reduction in OFDM
