Design of blind adaptive equalizer using frequency domain rectangular contour algorithm

Abstract

Rectangular Contour Algorithm (RectCA) is a novel blind equalization technique which generally deals with the oblong QAM constellations. It uses the geometry of Rectangular QAM to correct the phase error within 180° hence improving the convergence rate. In this paper, we have improved the performance of existing RectCA in terms of computational complexity by implementing the frequency domain block based RectCA (FD-RectCA). Furthermore, convergence rate of FD-RectCA is improved by normalizing the update equation. Simulation results are carried out using 16-Rectangular QAM constellation which signifies superior performance of the proposed technique.