Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Digital processing of random signals: theory and methods
Digital processing of random signals: theory and methods
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Estimation and equalization of fading channels with random coefficients
Signal Processing - Special issue on higher order statistics
OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
Microwave Mobile Communications
Microwave Mobile Communications
CHANNEL ESTIMATION FOR WIRELESS OFDM SYSTEMS
IEEE Communications Surveys & Tutorials
ICI mitigation for pilot-aided OFDM mobile systems
IEEE Transactions on Wireless Communications
A New DFT-Based Channel Estimation Approach for OFDM with Virtual Subcarriers by Leakage Estimation
IEEE Transactions on Wireless Communications
Channel estimation for OFDM with fast fading channels by modified Kalman filter
IEEE Transactions on Consumer Electronics
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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.