Coherent initialization methods for adaptive MIMO equalizers
Principles of Waveform Diversity and Design, Wicks M.,Makole E.,Blunt S.,Schneible R.,Amuso V., Editör, Institution of Engineering and Technology, Kansas, ss.466-478, 2011
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2011
- Doi Numarası: 10.1049/sbra023e_ch27
- Yayınevi: Institution of Engineering and Technology
- Basıldığı Şehir: Kansas
- Sayfa Sayıları: ss.466-478
- Editörler: Wicks M.,Makole E.,Blunt S.,Schneible R.,Amuso V., Editör
- Anahtar Kelimeler: Adaptive equalisers, Adaptive MIMO equalizers, Channel conditions, Coherent initialization methods, Complex RLS algorithm, Convergence of numerical methods, Data recovery, Decision feedback equalisers, DFE filters, Error correcting codes, Fast changing channel profiles, I-LMS algorithm, Least mean squares algorithm, Least mean squares methods, Linear operation, LMS algorithm, Low signal to noise ratios, MIMO communication, New initialization technique, Radio receivers, Target tracking, Training, Training process, Wireless channels
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
A coherent initialization approach for DFE filters has been presented and shown to offer a significant improvement when used together with the least mean squares (LMS) algorithm. In summary, new initialization technique has been the following advantages: improves convergence at the start of the training process, enables the simple LMS to work in difficult channel conditions, allows training and tracking with fast changing channel profiles, enables the implementation of a receiver at very low signal to noise ratios and the linear operation of LMS provides better data recovery for error correcting codes. The I-LMS algorithm performs as well as the much more complex RLS algorithm.