Orthogonal Data Aggregation with Jacobi Pulse Sequences
In this paper a new method for orthogonal data aggregation using Jacobi polynomial pulse sequences is proposed. First, the theory and construction of the sequences is presented. In proof-of-concept simulations we electrically aggregated 4 separate signals with 2 data levels and a data rate of 2 Gbit/s into a single 8 Gbit/s data signal with 16 data levels. Utilizing the Jacobi Polynomial pulse sequences a Q factor improvement of around 10 dB or a bandwidth reduction for the aggregated data signal by a factor of 1.5 could be achieved.
Authors
- Janosch Meier (ORCID: https://orcid.org/0000-0001-7308-5867)
- Paulomi Mandal (ORCID: https://orcid.org/0009-0007-1299-307X)
- Girish Krishnan (ORCID: https://orcid.org/0000-0002-1005-2862)
- Thomas Schneider (ORCID: https://orcid.org/0000-0001-6853-7128)
Institutions
- Technische Universität Braunschweig (DE)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.23919/gemic64734.2025.10979086
- Primary Topic
- Advanced Statistical Methods and Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft