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All-digital background calibration of gain and timing mismatches in time-interleaved ADCs using adaptive noise canceller

机译:使用自适应噪声消除器的时间交错ADC的增益和定时失配的全数字背景校准

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This paper proposes a novel all-digital background calibration technique for gain and timing mismatches in Time-Interleaved Analog-to-Digital Converters (TIADCs) using adaptive noise canceller (ANC). The error signals due to the gain and timing mismatches are expressed in linear regression terms, producing the estimation problem of ANC. The gain and clock skew coefficients are estimated by maximizing the output signal-to-noise ratio in ANC system. The correction is simple by subtracting the re-constructed errors from the TIADC output. The proposed calibration technique eliminates the input spectrum constants as well as removes high-pass filters, which are required in the conventional free-band based calibration technique. In order to validate the proposed approach, simulations are carried out for an 11-bit, 2.7 GS/s four-channel TIADC for various input signals. Results show that the proposed calibration produces excellent performance in terms of mismatch distortion suppression. It achieves the SNDR and SFDR improvement of 19 dB and 49 dB, respectively. Moreover, the synthesized design with hardware co-simulation on Xilinx Kintex-7 field-programmable gate array (FPGA) platform consumes only 7.36% of the hardware resources of the FPGA chip and reduces the mismatch tone level up to -87 dB. (C) 2019 Elsevier GmbH. All rights reserved.
机译:本文提出了一种新的全数字背景校准技术,用于使用自适应噪声消除器(ANC)在时间交错的模数转换器(TIADC)中的增益和时序不匹配。由于增益和时序不匹配引起的误差信号以线性回归术语表示,产生ANC的估计问题。通过最大化ANC系统中的输出信噪比来估计增益和时钟偏斜系数。通过从TIADC输出中减去重建的误差来简单,更正。所提出的校准技术消除了输入谱常数,也消除了传统的自由频段校准技术所需的高通滤波器。为了验证所提出的方法,为各种输入信号进行11位,2.7 GS / S四通道TIADC进行模拟。结果表明,在不匹配的失真抑制方面,所提出的校准会产生出色的性能。它可以分别实现19 dB和49 dB的SNDR和SFDR改进。此外,Xilinx Kintex-7现场可编程门阵列(FPGA)平台上的硬件共计合成设计仅消耗FPGA芯片的硬件资源的7.36%,并将不匹配音程度降低至-87 dB。 (c)2019年Elsevier GmbH。版权所有。

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