采用7级子ADC流水线结构设计了一个8位80 Msample/s的低功耗模数转换电路。为减小整个ADC的芯片面积和功耗,改善其谐波失真和噪声特性,重点考虑了第1级子ADC中MDAC的设计,将整个ADC的采样保持电路集成在第1级子ADC的MDAC中,并且采用逐...采用7级子ADC流水线结构设计了一个8位80 Msample/s的低功耗模数转换电路。为减小整个ADC的芯片面积和功耗,改善其谐波失真和噪声特性,重点考虑了第1级子ADC中MDAC的设计,将整个ADC的采样保持电路集成在第1级子ADC的MDAC中,并且采用逐级缩放技术设计7级子ADC的电路结构,在版图设计中考虑每一级子ADC中的电容及放大器的对称性。采用0.18μm CMOS工艺,该ADC的信噪比(SNR)为49.5 d B,有效位数(ENOB)为7.98位,该ADC的芯片面积只有0.56 mm2,典型的功耗电流仅为22 m A。整个ADC性能达到设计要求。展开更多
Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the ...Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise（AWGN）channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.60434030(国家自然科学基金)the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z218(国家高技术研究发展计划(863))the National Research Foundation for the Doctoral Program of Higher Education of China under Grant No.20050335020(国家教育部博士点基金)
文摘采用7级子ADC流水线结构设计了一个8位80 Msample/s的低功耗模数转换电路。为减小整个ADC的芯片面积和功耗,改善其谐波失真和噪声特性,重点考虑了第1级子ADC中MDAC的设计,将整个ADC的采样保持电路集成在第1级子ADC的MDAC中,并且采用逐级缩放技术设计7级子ADC的电路结构,在版图设计中考虑每一级子ADC中的电容及放大器的对称性。采用0.18μm CMOS工艺,该ADC的信噪比(SNR)为49.5 d B,有效位数(ENOB)为7.98位,该ADC的芯片面积只有0.56 mm2,典型的功耗电流仅为22 m A。整个ADC性能达到设计要求。
基金supported by the National Natural Science Foundation of China under Grant No. 60372022Program for New Century Excellent Talentsin University under Grant No. NCET-05-0806
文摘Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise（AWGN）channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.
