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Iterative Forward-Backward Kalman Filtering for Data Recovery in (Multiuser) OFDM Communications1
 

Summary: Chapter 1
Iterative Forward-Backward Kalman Filtering for Data
Recovery in (Multiuser) OFDM Communications1
Tareq Y. Al-Naffouri, Muhammad S. Sohail and Ahmed A. Quadeer
King Fahd University of Petroleum & Minerals
Saudi Arabia
1. Introduction
The current era of connectivity and information transfer demands high data rates from broadband wireless systems. The
main problem faced by such high data rate systems is multipath fading as it causes inter symbol interference (ISI). Thus,
there is a need for a technique that avoids ISI while still providing high speed data. Orthogonal Frequency Division
Multiplexing (OFDM) emerged as a technique that combines the advantages of high achievable data rates, relatively easy
implementation, high spectral efficiency and robustness to multipath fading. This is reflected by many standards that
considered and adopted OFDM including digital audio and video broadcasting (DAB and DVB), WIMAX (Worldwide
Inter-operability for Microwave Access), high speed modems over digital subscriber lines, and local area wireless broad-
band standards such as the HIPERLAN/2 and IEEE 802.11a (Stuber et al., 2004).
In a wireless communication system, data is sent over a channel. This channel is time variant and undergoes fading.
The exact state of the channel is unknown at the receiver. The transmitted signal is received at the receiver convolved with
the channel and corrupted with noise. The main interest at the receiver is to recover the transmitted data. If we consider
that the channel state information is known at the receiver, we can faithfully extract the transmitted data from the received
signal with this knowledge (through equalization). In practice however, we do not have prior knowledge of the channel

  

Source: Al-Naffouri, Tareq Y. - Electrical Engineering Department, King Fahd University of Petroleum and Minerals
Quadeer, Ahmed Abdul - Electrical Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Engineering