@inproceedings{6d78ca75f2dd4c8ea5d2c298ba7cabac,
title = "Kanal {\c c}{\"o}z{\"u}n{\"u}rl{\"u}ǧ {\"u}n{\"u}n siki{\c s}tirilmi{\c s} algilama tabanli ultra gen{\.i}{\c s} bantli kanal kest{\.i}r{\.i}m{\.i}ne etk{\.i}s{\.i}",
abstract = "Ultra short pulses are transmitted in Ultra-Wideband (UWB) communications. As a result of this, pulses at the receiver can be resolved individually due to the sparse structure of the channel. Due to these properties, the UWB channel can be estimated by using a compressed sensing based channel estimation method. The performance of channel estimation depends on the sparsity of the channel. In this work, the effect of channel resolution, which directly affects the sparsity, is examined. It is shown that the channel becomes more sparse and the channel estimation performance is improved with increased channel resolution. Also, the system performances of practically used selective-Rake receivers with estimated channels are found to be close to the perfect channel estimation case.",
author = "Mehmet Ba{\c s}aran and Serhat Erk{\"u}{\c c}{\"u}k and {\c C}irpan, \{Hakan Ali\}",
year = "2011",
doi = "10.1109/SIU.2011.5929664",
language = "T{\"u}rk{\c c}e",
isbn = "9781457704635",
series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
pages = "367--370",
booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",
}