Symbol detection based on Voronoi surfaces with emphasis on superposition modulation

作     者：Martin Damrath Peter Adam Hoeher Gilbert J.M. Forkel 

作者机构：Institute of Electrical and Information Engineering Faculty of Engineering University of Kiel Kaiserstr. 2 24143 Kiel Germany 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2017年第3卷第3期

页      面：141-149页

核心收录：

学科分类：0810[工学-信息与通信工程] 080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Deutsche Forschungsgemeinschaft  DFG  (HO2226/14-1) 

主　　题：Digital modulation Demodulation Detection algorithms Linear approximation 

摘      要：A challenging task when applying high-order digital modulation schemes is the complexity of the detector. Particularly, the complexity of the optimal a posteriori probability （APP） detector increases exponentially with respect to the number of bits per data symbol. This statement is also true for the Max-Log-APP detector, which is a common simplification of the APP detector. Thus it is important to design new detection algorithms which combine a sufficient performance with low complexity. In this contribution, a detection algorithm for two- dimensional digital modulation schemes which cannot be split-up into real and imaginary parts （like phase shift keying and phase-shifted snperposition modulation （PSM）） is proposed with emphasis on PSM with equal power allocation. This algorithm exploits the relationship between Max-Log-APP detection and a Voronoi diagram to determine planar surfaces of the soft outputs over the entire range of detector input values. As opposed to state-of-the-art detectors based on Voronoi surfaces, a priori information is taken into account, enabling iterative processing. Since the algorithm achieves Max-Log-APP performance, even in the presence of a priori information, this implies a great potential for complexity reduction compared to the classical APP detection.