Regularized Lattice Reduction-Aided Ordered Successive Interference Cancellation for MIMO Detection

Authors

Jun Tong, University of WollongongFollow
Qinghua Guo, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow
Yanguang Yu, University of WollongongFollow
Peter J. Schreier, University of Paderborn

RIS ID

130517

Publication Details

J. Tong, Q. Guo, J. Xi, Y. Yu & P. Schreier, "Regularized Lattice Reduction-Aided Ordered Successive Interference Cancellation for MIMO Detection," in IEEE Statistical Signal Processing Workshop, SSP 2018, 2018, pp. 717-721.

Abstract

Lattice reduction-aided ordered successive interference cancellation (LRA-OSIC) detection is capable of achieving optimal diversity orders for multiple-input multiple-output (MIMO) communications. When the number of antennas is large, however, there can still be a significant gap between the performance achievable with the LRA-OSIC detector and the maximum likelihood detector (MLD). This paper introduces a regularization approach to enhance the performance of LRA-OSIC detectors. Multiple approximate models for the same MIMO channel are generated and a standard LRA-OSIC detector is then constructed for each model. The best detector is determined for each instantaneous received symbol, using a residual-based method. The search can be terminated using a stopping criterion. Simulation results show that significant performance enhancements can be achieved by the proposed design at only a moderate increase of complexity1.