Abstract
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is appealing for the provision of high spectral efficiency in digital terrestrial broadcast systems. To fully obtain its advantageous features, it is very important to remove the frequency mismatch between the transmitter and the receiver. In this paper, we present the performance analysis of joint estimation of carrier and sampling frequency offsets in the MIMO-OFDM-based advanced television systems committee (ATSC) 3.0 system. In the MIMO-OFDM ATSC system, the continual pilot (CP) is primarily utilized to perform frequency synchronization. To efficiently suppress an unwanted bias introduced by the presence of random-likely located CPs, an optimal pilot subset is selected to form the basis of least squares frequency-offset estimation. A closed-form mean squared error is derived in the context of MIMO-OFDM, considering the multipath fading channel. We show via computer simulations and numerical analysis that the proposed estimation method achieves higher estimation accuracy than the existing estimation method.
Highlights
Orthogonal frequency division multiplexing (OFDM) has been successfully applied in many high data rate communication systems because of its attractive spectrum usage efficiency
To find the optimal subset simultaneously meeting the constraint of Equations (20) and (22), we perform an exhaustive search over all combinations of possible subsets, and it is thereby obtained that Np = 45 for 8 k mode and
For reliable operation of OFDM systems, it is important to perform frequency-offset estimation robustly. Addressing this issue, this paper proposed an effective joint carrier frequency offset (CFO) and sampling frequency offset (SFO) estimation method in the advanced television systems committee (ATSC) system using multiple-input multiple-output (MIMO)-OFDM
Summary
Orthogonal frequency division multiplexing (OFDM) has been successfully applied in many high data rate communication systems because of its attractive spectrum usage efficiency. More efficient frequency estimation and its complete performance analysis in a multipath fading channel is a key challenge in realizing high-performance MIMO-OFDM receivers. The performance analysis of joint CFO and SFO estimator for the MIMO-OFDM. The choice of the optimal pilot subset plays an important role on removing a bias produced by using random-likely distributed CPs. To assess the usefulness of the proposed LSE method, the mean squared error (MSE) is theoretically derived for the MIMO-OFDM ATSC system in a frequency-selective fading channel.
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