Turbo equalization: principles and new results

By Michael Tüchler, Ralf Koetter, Andrew C. Singer. IEEE Transactions on Communications, 2002

1,279 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b3cc81e2df95bb44f564c82b0fe72ea2e38abb7d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Michael Tüchler
2. Andrew C. Singer
3. Ralf Koetter
4. Hesham El Gamal
5. Giuseppe Caire
6. Mohamed Oussama Damen
7. Philip Schniter
8. Muriel Médard

In Computer Networks and Communications

1. Giuseppe Caire
2. Hesham El Gamal
3. Mohamed Oussama Damen
4. Arul D. Murugan
5. Ralf Koetter
6. Michael Tüchler
7. Andrew C. Singer
8. Chenyang Yang

In Electrical and Electronic Engineering

1. Giuseppe Caire
2. Hesham El Gamal
3. Mohamed Oussama Damen
4. Arul D. Murugan
5. Ralf Koetter
6. Michael Tüchler
7. Andrew C. Singer
8. Geoffrey Y. Li

Citations in the corpus

• The exit chart - introduction to extrinsic information transfer in iterative processing (2004, background): “Assume a certain EXIT chart for the inner system (decoder II, here the APP equalizer of a multipath channel [11] )at a certain channel SNR which gives already a starting value even with an a priori input zero.”
• OFDM and Its Wireless Applications: A Survey (2009, methodology): “even without employing a channel code and a soft-output channel decoder [146], which are the basic ingredients of turbo equalization [147], [148].”
• A unified framework for tree search decoding: rediscovering the sequential decoder (2005, methodology): “Alternative schemes such as turbo equalization [53] still require a Bahl–Cocke–Jelinek–Raviv (BCJR) decoder with the same trellis complexity of the convolutional code alone, plus a soft-output detector for the ISI channel alone.”
• Turbo equalization (2004, methodology): “The distribution 7 D M of this error given the estimator (18) has zero mean and variance D - M * D! - M T O & [11].”