Return to search

Semi-Blind Channel Estimation Using Superimposed Perfect Sequences for OFDM Systems

A complex array for constructing perfect sequences is presented in this paper. The row sequences and their discrete Fourier transform form two sets of perfect sequences. The column sequences are orthogonal to each other for any cyclic shift. In addition, any combination of the column sequences with complex weighting coefficients of equal amplitude is also a perfect sequence.
In addition, a superimposed training scheme is also proposed for channel estimation in OFDM systems. The perfect sequence is adopted since it has a constant magnitude in both the time domain and the frequency domain. Although the derived channel estimator has a slightly worse performance since the unknown data contributes extra noise, the effective data throughput is substantially increased. In addition, the proposed scheme is shown to have a much better peak-to-average power ratio (PAPR) because the added perfect sequence has a constant magnitude in the time domain.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0728106-125211
Date28 July 2006
CreatorsHuang, Wei-Chieh
ContributorsMao-Ching Chiu, Tsang-Yi Wang, Chih-Peng Li, Jyh-Horng Wen, Chin-Liang Wang
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728106-125211
Rightswithheld, Copyright information available at source archive

Page generated in 0.0014 seconds