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.
Highlights
IntroductionHigh-Speed Railway (HSR) in China has made great progress and attracted the world’s attention [1]
In recent several years, High-Speed Railway (HSR) in China has made great progress and attracted the world’s attention [1]
We have considered the Non-WSSUS channel estimation in the HSR environment with OFDM system
Summary
High-Speed Railway (HSR) in China has made great progress and attracted the world’s attention [1]. Existing fast fading channel estimation methods most generalized stationary uncorrelated scattering (WSSUS) as a precondition [7], or satisfied some certain channel statistical characteristics, e.g. Jakes’ channels [8]. This assumption is no longer valid when the transceivers operate in the high speed railway environment. Because for the HSR channel, the transceiver encounters different channel conditions and the train runs across the scenarios so rapidly [3]. Lower density scattered [3], which enhances the sparse structures of the HSR channel
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
