应用于流水线ADC的LMS自适应校准算法与FPGA实现

研究了应用于流水线模数转换器(ADC)的LMS自适应数字校准算法及其FPGA实现。该校准算法可用于校准大多数已知的误差,包括非线性运算放大器的有限增益、电容失配,以及比较器的失调等。通过Simulink软件,对一个12位160 MS/s的流水线ADC进行建模。采用LMS自适应校准算法对该流水线ADC进行校准,并将算法在Virtex-5上实现了硬件设计。实验结果表明, 输入信号频率为58.63 MHz时,流水线ADC的无杂散动态范围(SFDR)和有效位(ENOB)分别由校准前的46.31 dB和7.32位提高到校准后的82.03 dB和11.12位。     

一种基于统计的流水线ADC数字后台校准方法

高精度流水线ADC的设计需要校准技术来提高其转换精度.基于统计的数字后台校准方法无需校准信号,直接通过对输出的统计得到误差值的大小,将其从数字输出中移除从而消除了ADC输出非线性.将该校准方法应用于14bit流水线ADC中,仿真结果表明校准后信噪失真比SNR为76.9dB,无杂散动态范围SFDR为73.9dB,有效精度ENOB从9bit提高到12.5bit.     

基于神经网络的数字校准技术综述

随着集成电路工艺的发展以及晶体管尺寸的不断减小,ADC转换率变得更快、功耗更低,但器件的失配误差随之变得更大,从而影响精度,因此引入校准电路已成必然趋势。文章首先介绍了几种ADC的常见误差及其校准方法,然后介绍了神经网络的工作原理,并总结了几种主要的基于神经网络的数字校准方法,分析了不同方法的优势和劣势。最后,针对14位流水线ADC,给出了神经网络校准算法的系统级仿真验证结果。经校准后,有效位数(ENOB)从10位提升到12.5位,无杂散动态范围(SFDR)从80 dB提升到100 dB。     

一种用于16位流水线ADC的多比特子DAC电容失配校准方法

多比特子DAC的电容失配误差在流水线AIX:输出中引入非线性误差,不仅严重降低AEK、转换精腰.而且通常的校准技术无法对非线性误差进行校准.针对这种情况,本文提出了一种用于16位流水线ADC的多比特子DAC电容失配校准方法.该设计误差提取方案在流片后测试得到电容失配误差.进而计算不同输入情况下电容失配导致的MDAC输出误差,根据后级的误差补偿电路将误差转换为卡乏准码并存储在芯片中,对电容失配导致的流水级输出误差进行校准.仿真结果表明.卡《准后信噪失真比SINAD为93.34 dB.无杂散动态范围SFDR为117.86 dB,有效精度EN()B从12.63 bit提高到15.26 bit.     

一种10位50MHz流水线模数转换器的设计

采用每级1.5 bit和每级2.5 bit相结合的方法设计了一种10位50 MHz流水线模数转换器。通过采用自举开关和增益自举技术的折叠式共源共栅运算放大器,保证了采样保持电路和级电路的性能。该电路采用华润上华(CSMC)0.5μm 5 V CMOS工艺进行版图设计和流片验证,芯片面积为5.5 mm2。测试结果表明:该模数转换器在采样频率为50 MHz,输入信号频率为30 kHz时,信号加谐波失真比(SNDR)为56.5 dB,无杂散动态范围(SFDR)为73.9 dB。输入频率为20 MHz时,信号加谐波失真比为52.1 dB,无杂散动态范围为65.7 dB。     

一种抗辐射16位80 MSPS A/D转换器设计

为满足航天电子系统对高速高精度16位A/D转换器的需求,设计了一种流水线型16位80 MSPS A/D转换器,内核采用“3+4+3+3+3+3+3”七级流水线,前端缓冲器用于减小第一级MDAC采样网络回踢信号对A/D转换器线性度的影响。采用环栅器件、N+/P+双环版图等设计加固技术。A/D转换器采用0.18 μm CMOS工艺,工作电源电压为3.3 V和1.8 V,在时钟输入频率为80 MHz和模拟输入频率为36.1 MHz时,ADC的功耗≤1.1 W、信噪比SNR≥73.8 dB、无杂散动态范围SFDR≥88 dBFS。电离总剂量150 krad(Si)辐照后,ADC的信噪比SNR变化量≤0.3 dB、无杂散动态范围SFDR变化量≤1 dB;Bi离子辐照下ADC的电流增加≤4 mA。     

多通道 １４ 位 １２５ＭＳＰＳ 流水线型 ＡＤＣ 设计

针对通信系统对多通道、高速、高精度数据转换器国产化的迫切需求,论文设计了一款基于流水线架构的八通道14位125MSPS模数转换器,采用多位量化增益数模单元实现了流水线的第一级子级和最后一级采用4位flash ADC,多位量化较好地抑制了后级电路的噪声和失真衰减。采样保持电路采用采样电容翻转式结构实现。电路采用SMIC 0.18μm CMOS工艺进行设计,测试结果表明,在输入信号频率为70MHz,采样速率为125MHz时,无杂散动态范围为87dB,信噪比为72.5dB,有效位数约为11.75比特。     

一种应用于高精度SAR ADC校准的剪枝神经网络算法

介绍了一种基于剪枝神经网络的后台校准算法,能够对高精度单通道SAR ADC的电容失配、偏移、增益等多个非理想因素同时进行校准,有效提高SAR ADC的精度。本算法不仅可以达到全连接神经网络校准效果,而且同时对贡献小的权重进行剔除,降低了校准电路的资源消耗,加快了神经网络校准算法速度。仿真结果表明,信号频率接近奈奎斯特频率的情况下,对16 bit 5 MS/s的 SAR ADC进行校准,校准后ADC的有效位数从7.4 bit提高到15.6 bit,无杂散动态范围从46.8 dB提高到126.2 dB。     

一种基于伪随机噪声注入的流水线ADC数字校准算法

流水线ADC中运算放大器在设计过程中为了满足建立速度的要求,往往无法达到较高的信号建立精度,从而导致流水线ADC中的乘法数模转换器(MDAC)出现增益误差。提出一种基于伪随机噪声注入的数字后台校准方法,对MDAC的级间增益进行校准。将该校准算法应用于一款12 bit 250 MS/s的流水线ADC,仿真结果表明,校准后流水线ADC的有效位数(ENOB)可达到11.826 bit,信噪失真比(SNDR)可达72.95 d B,无杂散动态范围(SFDR)可达89.023 d B。     

用于14位210 MS/s电荷域ADC的4.5位子级电路

该文提出了一种用于高速高精度电荷域流水线模数转换器(ADC)的电荷域4.5位前端子级电路。该4.5位子级电路使用增强型电荷传输(BCT)电路替代传统开关电容技术流水线ADC中的高增益带宽积运放来实现电荷信号传输和余量处理,从而实现超低功耗。所提4.5位子级电路被运用于一款14位210 MS/s电荷域ADC中作为前端第1级子级电路,并在1P6M 0.18 μm CMOS工艺下实现。测试结果显示,该14位ADC电路在210 MS/s条件下对于30.1 MHz单音正弦输入信号得到的无杂散动态范围为85.4 dBc,信噪比为71.5 dBFS, ADC内核面积为3.2 mm2,功耗仅为205 mW。     

A 10-bit 80-MS/s opamp-sharing pipelined ADC with a switch-embedded dual-input MDAC

A 10-bit 80-MS/s opamp-sharing pipelined ADC is implemented in a 0.18-μm CMOS.An opampsharing MDAC with a switch-embedded dual-input opamp is proposed to eliminate the non-resetting and successive-stage crosstalk problems observed in the conventional opamp-sharing technique.The ADC achieves a peak SNDR of 60.1 dB(ENOB = 9.69 bits) and a peak SFDR of 76 dB,while maintaining more than 9.6 ENOB for the full Nyquist input bandwidth.The core area of the ADC is 1.1 mm~2 and the chip consumes 28 mW with a 1.8 V power supply.     

A 1.4-V 25-Mw 600-MS/s 6-bit folding and interpolating ADC in 0.13-μm CMOS

A 600-MSample/s 6-bit folding and interpolating analog-to-digital converter (ADC) is presented. This ADC with single track-and-hold (T/H) circuits is based on cascaded folding amplifiers and input-connection-improved active interpolating amplifiers. The prototype ADC achieves 5.55 bits of the effective number of bits (ENOB) and 47.84 dB of the spurious free dynamic range (SFDR) at 10-MHz input and 4.3 bit of ENOB and 35.65 dB of SFDR at 200-MHz input with a 500 MS/s sampling rate; it achieves 5.48 bit of ENOB and 43.52 dB of SFDR at 1-MHz input and 4.66 bit of ENOB and 39.56 dB of SFDR at 30. 1-MHz input with a 600-MS/s sampling rate. This ADC has a total power consumption of 25 mW from a 1.4 V supply voltage and occupies 0.17 mm~2 in the 0.13-μm CMOS process.     

A 1.4-V 25-mW 600-MS/s 6-bit folding and interpolating ADC in 0.13-μm CMOS

A 600-MSample/s 6-bit folding and interpolating analog-to-digital converter(ADC) is presented.This ADC with single track-and-hold(T/H) circuits is based on cascaded folding amplifiers and input-connection-improved active interpolating amplifiers.The prototype ADC achieves 5.55 bits of the effective number of bits(ENOB) and 47.84 dB of the spurious free dynamic range(SFDR) at 10-MHz input and 4.3 bit of ENOB and 35.65 dB of SFDR at 200-MHz input with a 500 MS/s sampling rate;it achieves 5.48 bit of ENOB a...     

An efficient background calibration technique for analog-to-digital converters based on neural network

This paper introduces a background digital calibration algorithm based on neural network, which can adaptively calibrate multiple non-ideal factors in a single-channel ADC, such as gain error, mismatch, offset and harmonic distortion. It enables an efficient background calibration through a simple feed forward neural network and LM gradient descent algorithm. The simulation results show that in the case of a signal input close to the Nyquist frequency, for a 14-bit 500 MS/s prototype ADC, only about 40,000 data needed, the ENOB of the ADC can be increased from 7.81 to 13.06 and the SFDR from 49.7 dB to 106.8 dB assisted by a lower speed reference ADC.     

基于流水线ADC的高速数据采集系统设计

由于流水线模数转换器（ADC）能在较低的功耗条件下实现中、高精度高速数据采样功能,因而被广泛应用于雷达、通信、医学成像、精确控制等技术领域的数据采集系统。文章介绍了流水线ADC的基本原理及其最新研究成果,并且基于流水线ADC完成了一种14位精度125Msps高速数据采集系统的设计。测试结果表明,该系统在75Msps采样...     

Nested Digital Background Calibration of a 12-bit Pipelined ADC Without an Input SHA

To reduce power dissipation, the input sample-and-hold amplifier (SHA) is eliminated in a pipelined analog-to-digital converter (ADC) with nested background calibration. The nested architecture calibrates the pipelined ADC with an algorithmic ADC that is also calibrated. Without an input SHA, a timing difference between the sampling instants of the two ADCs creates an error that interferes with calibration of the pipelined ADC. This problem is overcome with digital background timing compensation. It uses a differentiator with fixed coefficients to build an adaptive interpolator. With a 58-kHz sinusoidal input, the 12-bit 20-Msample/s pipelined ADC achieves a signal-to-noise-and-distortion ratio (SNDR) of 70.2 dB, a spurious-free dynamic range (SFDR) of 80.3 dB, and an integral nonlinearity (INL) of 0.75 least significant bit (LSB). With a 9-MHz input, the SNDR is 64.2 dB, and the SFDR is 78.3 dB. About 2 million samples or 0.1 s are required for convergence. The prototype occupies 7.5 mm² in 0.35-mum CMOS and dissipates 231 mW from 3.3 V, which is 23 mW less than in a previous prototype with the input SHA.