Damrath, Martin, Hoeher, Peter and Forkel, Gilbert J. M. (2018) Piecewise linear detection for direct superposition modulation. Digital Communications and Networks, 4 (2). pp. 98-105. DOI 10.1016/j.dcan.2016.11.005.

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Abstract

Considering high-order digital modulation schemes, the bottleneck in consumer products is the detector rather than the modulator. The complexity of the optimal a posteriori probability (APP) detector increases exponentially with respect to the number of modulated bits per data symbol. Thus, it is necessary to develop low-complexity detection algorithms with an APP-like performance, especially when performing iterative detection, for example in conjunction with bit interleaved coded modulation. We show that a special case of superposition modulation, dubbed Direct Superposition Modulation (DSM), is particularly suitable for complexity reduction at the receiver side. As opposed to square QAM, DSM achieves capacity without active signal shaping. The main contribution is a low-cost detection algorithm for DSM, which enables iterative detection by taking a priori information into account. This algorithm exploits the approximate piecewise linear behavior of the soft outputs of an APP detector over the entire range of detector input values. A theoretical analysis and simulation results demonstrate that at least max-log APP performance can be reached, while the complexity is significantly reduced compared to classical APP detection.

Document Type:	Article
Keywords:	Digital modulation, Demodulation, Detection algorithms, Linear approximation
Research affiliation:	Kiel University > Kiel Marine Science OceanRep > The Future Ocean - Cluster of Excellence Kiel University
Refereed:	Yes
Open Access Journal?:	Yes
Publisher:	Elsevier
Projects:	Future Ocean
Date Deposited:	01 Aug 2018 08:51
Last Modified:	26 Mar 2019 10:07
URI:	https://oceanrep.geomar.de/id/eprint/43881

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