Iterative channel estimation and decoding of pilot symbol assisted turbo codes over flat-fading channels

By Matthew C. Valenti, B. Woerner. IEEE J. Sel. Areas Commun., 2001

307 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b5ad4adbf4f12ea9e8641f87d33b80857c987c9f

How researchers see this paper

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

In Computer Networks and Communications

1. Len Cimini
2. Z. Tan
3. Hongjie Hu
4. Yinsheng Liu
5. Geoffrey Y. Li
6. Rui Zhang
7. Hongwei Yang
8. Qingqing Wu

In Electrical and Electronic Engineering

1. Len Cimini
2. Z. Tan
3. Hongjie Hu
4. Yinsheng Liu
5. Geoffrey Y. Li
6. Rui Zhang
7. Qingqing Wu
8. Hongwei Yang

Citations in the corpus

• Channel Estimation for OFDM (2014, background): “2) Soft and Hard Mapping: The key for channel estimation in a turbo receiver is how to use the a priori information; generally, a priori information can be used to yield either soft symbols [16], [81], [95], [96], or hard symbols [80], [88], [89], [97].”