Max-log APP Detection for Non-bijective Symbol Constellations
Martin Damrath, Peter Adam Hoeher
TL;DR
This paper discusses the application of max-log APP detection in non-bijective symbol constellations, highlighting key differences from bijective schemes in soft-input soft-output detection.
Contribution
It identifies and explains the main differences in applying APP detection algorithms to non-bijective constellations compared to bijective ones.
Findings
Highlights differences in APP detection for non-bijective constellations
Provides insights into soft-input soft-output detection challenges
Clarifies the applicability of max-log APP detection
Abstract
A posteriori probability (APP) and max-log APP detection is widely used in soft-input soft-output detection. In contrast to bijective modulation schemes, there are important differences when applying these algorithms to non-bijective symbol constellations. In this letter the main differences are highlighted.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsError Correcting Code Techniques · Advanced Wireless Communication Techniques · Algorithms and Data Compression