Abstract
Long-Term Evolution (LTE) systems will employ single carrier frequency division multiple access (SC-FDMA) for the uplink. Similar to the Orthogonal frequency-division multiple access (OFDMA) technology, SC-FDMA is sensitive to frequency offsets leading to intercarrier interference (ICI). In this paper, we propose a Kalman filter-based approach in order to mitigate ICI under high Doppler spread scenarios by tracking the variation of channel taps jointly in time domain for LTE uplink systems. Upon acquiring the estimates of channel taps from the Kalman tracker, we employ an interpolation algorithm based on polynomial fitting whose order is changed adaptively. The proposed method is evaluated under four different scenarios with different settings in order to reflect the impact of various critical parameters on the performance such as propagation environment, speed, and size of resource block (RB) assignments. Results are given along with discussions.
Highlights
In the literature, various methods are proposed in order to alleviate the aforementioned problems and shortcomings
In these papers, zeroforcing (ZF) or minimum mean squared error (MMSE) linear channel estimation methods have been proposed in frequency-domain they all suffer from intercarrier interference (ICI), without proposing any cancellation method
M denotes the number of single carrier frequency-division multiple access (SC-FDMA) subcarriers, Ts denotes the base-band signal’s sample duration, L and L denote the number of fractionally-spaced channel paths and the number of equivalent sample spaced channel impulse response (CIR) taps, respectively
Summary
Various methods are proposed in order to alleviate the aforementioned problems and shortcomings. To the best knowledge of authors, the very first papers addressing the channel estimation problem in the context of SC-FDMA are [4, 5] both of which consider time-invariant frequency-selective multipath channels, throughout an SCFDMA symbol. A channel estimation algorithm based on Kalman filter and a polynomial curve fitting interpolator whose order is selected adaptively is proposed for LTE uplink systems which include timevarying channels in high speed environments.
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