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A Forward-Backward Kalman for the Estimation of Time-Variant Channels in OFDM
 

Summary: A Forward-Backward Kalman for the Estimation of
Time-Variant Channels in OFDM
Tareq Y. Al-Naffouri Arogyswami Paulraj
Electrical Engineering Dept. Electrical Engineering Dept.
King Fahd University of Petroleum and Minerals Stanford University
Dhahran, Saudi Arabia USA
Abstract-- OFDM combines the advantages of high achievable 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. The algorithm makes use of the rich structure
of the underlying communication problem­ a structure induced by the
data and channel constraints. These constraints include pilots, the cyclic
prefix, and the finite alphabet constraints on the data, and 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.
I. INTRODUCTION
Orthogonal frequency division multiplexing (OFDM) is an effec-

  

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

 

Collections: Engineering