Kısaltılmış kanal bilgisi sağlayan kör, uyarlamalı kanal kısaltma denkleştirici algoritması (kukka-kb)
Blind, adaptive channel shortening equalizer algorithm with state information (bacs-si)
- Tez No: 178029
- Danışmanlar: DR. CENK TOKER
- Tez Türü: Yüksek Lisans
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2007
- Dil: Türkçe
- Üniversite: Hacettepe Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Elektrik-Elektronik Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
Özet yok.
Özet (Çeviri)
In advanced wireline or wireless communication systems, i.e. IEEE 802.16 (WiMAX) and ADSL/2+, a cyclic pre¯x which is proportional with channel impulse response is needed to append an MCM frame for operating the multicarrier modulation (MCM) accurately which is used as a main communication technique for combatting inter sym- bol interference (ISI) successfully. In cases, a relatively long channel impulse response cause to decrease the throughput of the system because of the cyclic pre¯x. One of the most useful technique to obstruct this decreasing in throughput is using a time domain equalizer (TEQ) as a linear preprocessor before MCM receiver in the receiver frontend in order to shorten the e®ective channel length to the desirable length. Channel short- ening ¯lter design is a widely examined topic in the literature. Among these algorithms the Minimum Mean Squared Error (MMSE) is possibly the most widely considered one due to their analytical tractability. Most of the channel shortening equalizer propos- als including the MMSE technique in the literature depend on perfect channel state information (CSI). However, this information may not be possible in all situations. In cases where the channel state information is not needed, blind equalization techniques can be a proper solution. Although blind channel equalization is a well studied ¯eld, the blind channel shortening is a rather unexplored ¯eld in the literature. SAM and SLAM are conspicuous algorithms in blind channel shortening equalizer design. They basically depend on the fact that if the length of the autocorrelation of the shortened impulse response has the same length as the pre-determined length. On the other hand one of the most important disadvantage of these algorithms is not explicitly provided the channel state information (CSI) to the frequency domain equalizer (FEQ) in the MCM receiver. In these techniques channel state information is only provided with channel estimation which is in contrast to the philosophy of blind signal processing. In this dissertation we propose a blind channel equalizer design with channel state information which is a combination of the SAM and SLAM algorithms based on the autocorrelation of the shortened channel and MMSE algorithm mentioned above.
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