A Completely Blind Channel Estimation Technique for OFDM Using Generalized Constellation Splitting and Modified Phase-Directed Algorithm

TL;DR

This paper introduces a novel blind channel estimation method for OFDM systems that employs generalized constellation splitting and a modified phase-directed algorithm to resolve scalar ambiguities without pilots, improving estimation accuracy.

Contribution

It proposes a new blind estimation algorithm that eliminates the need for pilots by resolving scalar ambiguities using constellation splitting and phase-directed techniques.

Findings

The proposed method effectively resolves scalar ambiguities in blind channel estimation.

Numerical simulations show improved MSE performance over traditional SOS-based methods.

The algorithm operates without the use of pilot symbols, maintaining the essence of blind estimation.

Abstract

The problem of blind channel estimation for SISO-OFDM systems using second-order statistics (SOS) is addressed. A comparison of two prominent SOS-based techniques: subspace-decomposition and precoding-induced correlation-averaging techniques in terms of MSE performance is presented. The drawback of these methods is that they suffer from a complex-scalar estimation ambiguity which is resolved by using pilots or reference symbols. By using pilots the whole purpose of blind techniques is contradicted. We propose an algorithm to resolve this ambiguity in blind manner using generalized constellation-splitting and modified phase-directed algorithm. The performance of the proposed scheme is evaluated via numerical simulations in MATLAB environment.