Name
Abstract | ||
|---|---|---|
A Sphere Decoder is a popular tree search algorithm for the solution of integer least squares minimisation problems. It has gained considerable attention for its application to maximum likelihood detection of digitally modulated signals in MIMO communication systems and can almost universally be applied to a plethora of problems with some modifications to the sphere constraint. This creates the need for a baseline digital hardware design of a configurable Sphere Decoder, which can be adjusted for various applications. This paper presents the implementation of a baseline Sphere Decoder with high-level synthesis (HLS) in connection with a data type-agnostic programming methodology, which makes it even more flexible. |
Year | Venue | Field |
|---|---|---|
2017 | European Signal Processing Conference | Integer least squares,Tree traversal,Algorithm design,Maximum likelihood detection,High-level synthesis,Theoretical computer science,Minimisation (psychology),Software development process,Soft-decision decoder,Computer engineering,Mathematics |
DocType | ISSN | Citations |
Conference | 2076-1465 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Knoop | 1 | 17 | 5.48 |
| Liam Schwez | 2 | 0 | 0.34 |
| Dagmar Peters-Drolshagen | 3 | 39 | 12.87 |
| Steffen Paul | 4 | 142 | 40.96 |