Channel estimation techniques based on pilot arrangement in OFDM systems

By Sinem Coleri Ergen, Mustafa Ergen, Anuj Puri, Ahmad Bahai. IEEE transactions on broadcasting, 2002

1,744 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5dbc6b193e7ca7dd7d2c653626e9dd500d20f443

How researchers see this paper

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

In Artificial Intelligence

1. Geoffrey Y. Li
2. Z. Tan
3. Pravin Pratap Varaiya
4. Len Cimini
5. Hongjie Hu
6. Yinsheng Liu
7. Zhijin Qin
8. Biing-Hwang Fred Juang

In Electrical and Electronic Engineering

1. Len Cimini
2. Geoffrey Y. Li
3. Z. Tan
4. Hongjie Hu
5. Yinsheng Liu
6. Chenyang Yang
7. Shaoqian Li
8. Gang Wu

Citations in the corpus

• Channel Estimation for OFDM (2014, methodology): “Different interpolation techniques can be used to recover the channel responses at the data subcarriers [44], [55].”
• QoS aware adaptive resource allocation techniques for fair scheduling in OFDMA based broadband wireless access systems (2003, methodology): “OFDMA is based on OFDM and inherits its immunity to inter-symbol interference and frequency selective fading [6], [7].”
• Deep Learning-Based Channel Estimation (2018, background): “Depending on these pilot arrangements, three different structures can be considered: block-type, comb-type and lattice-type [1], [2].”
• OFDM and Its Wireless Applications: A Survey (2009, background): “Two of the simplest ways are piecewise constant and linear interpolation [2], [64].”