Simulation Performance of MMSE Iterative Equalization with Soft Boolean Value Propagation

TL;DR

This paper compares the performance of MMSE iterative equalization algorithms based on MAP-SBVP and COD-MAP for fading and non-fading channels, demonstrating comparable effectiveness through simulations.

Contribution

It introduces and evaluates MAP-SBVP in the context of MMSE iterative equalization, showing its performance is similar to COD-MAP in various channel conditions.

Findings

MAP-SBVP performance is comparable to COD-MAP

Effective in both fading and non-fading channels

Simulation results support its viability

Abstract

The performance of MMSE Iterative Equalization based on MAP-SBVP and COD-MAP algorithms (for generating extrinsic information) are compared for fading and non-fading communication channels employing serial concatenated convolution codes. MAP-SBVP is a convolution decoder using a conventional soft-MAP decoder followed by a soft-convolution encoder using the soft-boolean value propagation (SBVP). From the simulations it is observed that for MMSE Iterative Equalization, MAP-SBVP performance is comparable to COD-MAP for fading and non-fading channels.