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Offset mismatch calibration for TI-ADCs in high-speed OFDM systems

机译:高速OFDm系统中TI-aDC的偏移失配校准

摘要

Time-interleaved analog-to-digital converters (TIADCs) are widely used for multi-Gigabit orthogonal frequency division multiplexing (OFDM) based systems because of their attractive high sampling rate and high resolution. However, when not perfectly calibrated, mismatches such as offset mismatch, gain mismatch and timing mismatch between parallel sub-ADCs can significantly degrade the system performance. In this paper, we focus on offset mismatch. We analyze two calibration techniques for the offset mismatch, based on the least-squares (LS)and linear minimum mean-squared error (LMMSE) algorithms assuming an AWGN channel. The simulation results show that our method is capable of improving the BER performance. As expected, the LMMSE estimator outperforms the LS estimator. However, at large offset mismatch levels or low noise level, both estimators converge. In this paper, we derive the condition on the mismatch level for convergence between the two estimators.
机译:时间交织的模数转换器(TIADC)由于其吸引人的高采样率和高分辨率而被广泛用于基于多千兆位正交频分复用(OFDM)的系统。但是,如果未进行理想的校准,则并行子ADC之间的失调(例如失调失调,增益失调和时序失调)会严重降低系统性能。在本文中,我们着重于失调失配。我们基于假设AWGN信道的最小二乘(LS)和线性最小均方误差(LMMSE)算法,分析了两种失调失调校准技术。仿真结果表明,我们的方法能够提高BER性能。不出所料,LMMSE估计器的性能优于LS估计器。然而,在大失调失配水平或低噪声水平下,两个估计器都收敛。在本文中,我们推导了两个估计量之间在不匹配水平上收敛的条件。

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