TITLE:
Estimation of Non-WSSUS Channel for OFDM Systems in High Speed Railway Environment Using Compressive Sensing
AUTHORS:
Chen Wang, Yong Fang, Zhi-Chao Sheng
KEYWORDS:
OFDM; Non-WSSUS Channel Estimation; Compressive Sensing (CS); Kalman Filter; LTE-R
JOURNAL NAME:
Communications and Network,
Vol.5 No.3C,
October
10,
2013
ABSTRACT: Non Wide Sense Stationary Uncorrelated Scattering
(Non-WSSUS) is one of characteristics for high-speed railway wireless channels.
In this paper, estimation of Non-WSSUS Channel for OFDM Systems is considered
by using Compressive Sensing (CS) method. Given sufficiently wide transmission
bandwidth, wireless channels encountered here tend to exhibit a sparse multipath
structure. Then a sparse Non-WSSUS channel estimation approach is proposed
based on the delay-Doppler-spread function representation of the channel. This
approach includes two steps. First, the delay-Doppler-spread function is
estimated by the Compressive Sensing (CS) method utilizing the delay-Doppler
basis. Then, the channel is tracked by a reduced order Kalman filter in the
sparse delay-Doppler domain, and then estimated sequentially. Simulation
results under LTE-R standard demonstrate that the proposed algorithm
significantly improves the performance of channel estimation, comparing with
the conventional Least Square (LS) and regular CS methods.