Frequency-Channelized Mismatch-Shaped Quadrature Data Converters for Carrier Aggregation in MU-MIMO LTE-A
Frequency-Channelized Mismatch-Shaped Quadrature Data Converters for Carrier Aggregation in MU-MIMO LTE-A
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DOI:
10.1109/tcsi.2016.2603442
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发表时间:
2017
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影响因子:
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通讯作者:
S. Kundu;Subhanshu Gupta;D. Allstot;J. Paramesh
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文献类型:
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作者:
S. Kundu;Subhanshu Gupta;D. Allstot;J. Paramesh
Emerging wireless standards aggregate information by selecting combinations of contiguous or non-contiguous channels, thereby enabling wider transmission bandwidths, and hence, higher data rates. Frequency-interleaved analog-to-digital conversion (FI-ADC) is an attractive emerging technique for carrier aggregation receivers because it facilitates an efficient way to dynamically vary the receiver bandwidth in order to address the many possible channel combinations. Compared to their time-interleaved counterparts, the specifications of the samplers in the parallel channels in FI-ADCs are significantly relaxed, thereby resulting in lower overall power consumption in the receiver. This work extends the FI-ADC concept to the quadrature frequency-interleaved oversampled data converter (QFI-ADC) to achieve greater aggregate data rates. Previously, digital-to-analog converter (DAC) and other inter-channel mismatches have limited the performance of QFI-ADCs. In this paper, we propose a low-complexity element rotation algorithm (ERA) to mitigate DAC mismatches. The ERA is synthesized from the corresponding mismatch transfer function using a rigorous mathematical procedure which is shown to be applicable generally to low-pass, high-pass, band-pass and quadrature ERAs. Simulations confirm that the resulting low-complexity quadrature ERAs have advantages over previously proposed approaches in both performance and hardware complexity. An additional gain calibration technique alleviates image folding due to gain and timing mismatches between the quadrature DAC elements, which yields higher SNDR.