Details
| Original language | English |
|---|---|
| Title of host publication | 2018 15th International Symposium on Wireless Communication Systems (ISWCS) |
| Publisher | VDE Verlag GmbH |
| Number of pages | 6 |
| ISBN (electronic) | 9781538650059 |
| ISBN (print) | 9781538650066 |
| Publication status | Published - 15 Oct 2018 |
| Event | 15th International Symposium on Wireless Communication Systems, ISWCS 2018 - Lisbon, Portugal Duration: 28 Aug 2018 → 31 Aug 2018 |
Publication series
| Name | Proceedings of the International Symposium on Wireless Communication Systems |
|---|---|
| ISSN (Print) | 2154-0217 |
| ISSN (electronic) | 2154-0225 |
Abstract
One of the key issues of Digital Radio Mondiale (DRM) is green broadcasting. For wide area coverage, the use of high-power transmitters is essential. However, the applied transmission technology based on Orthogonal Frequency Division Multiplexing (OFDM) results in non-linearities in the emitted signal, low power efficiency, and high costs of transmitters. Digital predistortion is a promising scheme for power amplifier (PA) linearization. This paper presents an efficient approach to estimate the parameters of a digital predistorter based on adaptive filtering with direct learning architecture (DLA). A well-known algorithm for identifying and tracking the timevarying parameters of an unknown system is the recursive least squares (RLS) method with exponential/directional forgetting. In this paper, the efficiency of both exponential/directional forgetting techniques is investigated for different degrees of PA nonlinearities. On this basis, a new hybrid technique based on statistical properties of the PA input signal is proposed. The evaluation results show that for both scenarios, the statistic-based forgetting technique not only provides better accuracy but also is more robust against high PA nonlinearities.
Keywords
- Adaptive linearization, Digital broadcasting, Digital predistortion, Drm+, Nonlinear power amplification
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Engineering(all)
- Electrical and Electronic Engineering
- Social Sciences(all)
- Communication
Cite this
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2018 15th International Symposium on Wireless Communication Systems (ISWCS). VDE Verlag GmbH, 2018. (Proceedings of the International Symposium on Wireless Communication Systems).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Use of Statistical Signal Properties for Adaptive Predistortion of High Power Amplifiers
AU - Moghaddamnia, Sanam
AU - Fuhrwerk, Martin
AU - Peissig, Jurgen
N1 - Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/10/15
Y1 - 2018/10/15
N2 - One of the key issues of Digital Radio Mondiale (DRM) is green broadcasting. For wide area coverage, the use of high-power transmitters is essential. However, the applied transmission technology based on Orthogonal Frequency Division Multiplexing (OFDM) results in non-linearities in the emitted signal, low power efficiency, and high costs of transmitters. Digital predistortion is a promising scheme for power amplifier (PA) linearization. This paper presents an efficient approach to estimate the parameters of a digital predistorter based on adaptive filtering with direct learning architecture (DLA). A well-known algorithm for identifying and tracking the timevarying parameters of an unknown system is the recursive least squares (RLS) method with exponential/directional forgetting. In this paper, the efficiency of both exponential/directional forgetting techniques is investigated for different degrees of PA nonlinearities. On this basis, a new hybrid technique based on statistical properties of the PA input signal is proposed. The evaluation results show that for both scenarios, the statistic-based forgetting technique not only provides better accuracy but also is more robust against high PA nonlinearities.
AB - One of the key issues of Digital Radio Mondiale (DRM) is green broadcasting. For wide area coverage, the use of high-power transmitters is essential. However, the applied transmission technology based on Orthogonal Frequency Division Multiplexing (OFDM) results in non-linearities in the emitted signal, low power efficiency, and high costs of transmitters. Digital predistortion is a promising scheme for power amplifier (PA) linearization. This paper presents an efficient approach to estimate the parameters of a digital predistorter based on adaptive filtering with direct learning architecture (DLA). A well-known algorithm for identifying and tracking the timevarying parameters of an unknown system is the recursive least squares (RLS) method with exponential/directional forgetting. In this paper, the efficiency of both exponential/directional forgetting techniques is investigated for different degrees of PA nonlinearities. On this basis, a new hybrid technique based on statistical properties of the PA input signal is proposed. The evaluation results show that for both scenarios, the statistic-based forgetting technique not only provides better accuracy but also is more robust against high PA nonlinearities.
KW - Adaptive linearization
KW - Digital broadcasting
KW - Digital predistortion
KW - Drm+
KW - Nonlinear power amplification
UR - http://www.scopus.com/inward/record.url?scp=85056702654&partnerID=8YFLogxK
U2 - 10.1109/ISWCS.2018.8491222
DO - 10.1109/ISWCS.2018.8491222
M3 - Conference contribution
AN - SCOPUS:85056702654
SN - 9781538650066
T3 - Proceedings of the International Symposium on Wireless Communication Systems
BT - 2018 15th International Symposium on Wireless Communication Systems (ISWCS)
PB - VDE Verlag GmbH
T2 - 15th International Symposium on Wireless Communication Systems, ISWCS 2018
Y2 - 28 August 2018 through 31 August 2018
ER -