TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Performance evaluation of time-multiplexed and data-dependent superimposed training based transmission with practical power amplifier model

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli49
Sivut1-19
Sivumäärä19
JulkaisuEurasip Journal on Wireless Communications and Networking
Vuosikerta2012
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 2012
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

The increase in the peak-to-average power ratio (PAPR) is a well known but not sufficiently addressed problem with data-dependent superimposed training (DDST) based approaches for channel estimation and synchronization in digital communication links. In this article, we concentrate on the PAPR analysis with DDST and on the spectral regrowth with a nonlinear amplifier. In addition, a novel Gaussian distribution model based on the multinomial distribution for the cyclic mean component is presented. We propose the use of a symbol level amplitude limiter in the transmitter together with a modified channel estimator and iterative data bit estimator in the receiver. We show that this setup efficiently reduces the regrowth with the DDST. In the end, spectral efficiency comparison between time domain multiplexed training and DDST with or without symbol level limiter is provided. The results indicate improved performance for DDST based approaches with relaxed transmitter power amplifier requirements.

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