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IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 1, NO. 11, NOVEMBER 2006 1 An EM-Based Forward-Backward Kalman Filter for the
 

Summary: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 1, NO. 11, NOVEMBER 2006 1
An EM-Based Forward-Backward Kalman Filter for the
Estimation of Time-Variant Channels in OFDM
Tareq Y. Al-Naffouri
Abstract-- OFDM modulation combines the advantages of high achiev-
able rates and relatively easy implementation. However, for proper
recovery of the input, the OFDM receiver needs accurate channel
information. In this paper, we propose an expectation-maximization (EM)
algorithm for joint channel and data recovery in fast fading environments.
The algorithm makes a collective use of the data and channel constraints
inherent in the communication problem. This comes in contrast to
other works which have employed these constraints selectively. The
data constraints include pilots, the cyclic prefix, and the finite alphabet
restriction, while the channel constraints include sparsity, finite delay
spread, and the statistical properties of the channel (frequency and
time correlation). The algorithm boils down to a forward-backward (FB)
Kalman filter. We also suggest a suboptimal modification that is able to
track the channel and recover the data with no latency. Simulations show
the favorable behavior of both algorithms compared to other channel
estimation techniques.

  

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

 

Collections: Engineering