Analysis of Second-order Statistics Based Semi-blind Channel Estimation in CDMA Channels
Husheng Li, H. Vincent Poor
TL;DR
This paper analyzes the performance of second-order statistics based semi-blind channel estimation in DS-CDMA systems, deriving covariance matrices and evaluating efficiency through large-sample analysis and simulations.
Contribution
It provides a large-system analysis of SOS-based semi-blind channel estimation algorithms, introducing a new measure of blind estimation efficiency.
Findings
Covariance matrix of SOS estimates derived in large system limit
Performance of two SOS-based algorithms analyzed theoretically
Simulation results validate the analysis and efficiency measure
Abstract
The performance of second order statistics (SOS) based semi-blind channel estimation in long-code DS-CDMA systems is analyzed. The covariance matrix of SOS estimates is obtained in the large system limit, and is used to analyze the large-sample performance of two SOS based semi-blind channel estimation algorithms. A notion of blind estimation efficiency is also defined and is examined via simulation results.
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
TopicsWireless Communication Networks Research · Advanced Wireless Communication Techniques · Blind Source Separation Techniques