Collaborative Research: Iterative Downconversion for Broadband Signal Digitization

合作研究：宽带信号数字化的迭代下变频

• 批准号: 1002338
• 负责人: Ranjit Gharpurey
• 金额: $ 27万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1002338&HistoricalAwards=false
• 关键词: Collaborative; Research; Iterative; Downconversion; Broadband

The objective of this research is to investigate innovative frequency channelized architectures for broadband analog-to-digital conversion. The approach employs a broadband analog iterative filter bank based on a spatially unfolded cascade of image-reject down-conversion stages. For an N-stage cascade, the input is concurrently decomposed into 2 to the power of N-1 contiguous channels; each digitized using converters clocked at 1/(2 to the power of N-1) of the input Nyquist rate. All down converter local oscillators are derived from a single reference with a cascade of compact, low power, divide-by-2 stages. The architecture potentially allows for frequency scalable resolution.Intellectual Merit: The approach in this research does not suffer from limitations of traditional high-speed time-domain samplers, such as requirements for extremely fine time resolution. It also avoids a major implementation bottleneck in current frequency-domain approaches arising from the requirement for multiple non-harmonically related local oscillators. Performance limitations due to finite image-rejection, local oscillator spurs, and phase noise are addressed with circuit-level innovations. Broader Impacts: The innovations in signal digitization capability address a critical need for technology advances in multiple areas with broad societal and scientific impact including computing, communications, sensors, medicine, and fundamental science. The unique architecture is expected to enable new signal-processing intensive implementations utilizing multi-resolution and frequency scalable designs with diverse applications in these areas. Graduate and undergraduate students involved in this research will gain expertise in theoretical and experimental aspects of the design of high-performance digitizers and signal processors. The results of this research will be disseminated through publications and seminars and will be incorporated into graduate courses taught by the PIs.

本研究的目的是研究用于宽带模数转换的创新频率通道化架构。该方法采用基于图像抑制下转换级的空间展开级联的宽带模拟迭代滤波器组。对于N级级联，输入同时分解为2的N-1次方连续通道；每个都使用时钟频率为输入奈奎斯特速率的 1/（2 的 N-1 次方）的转换器进行数字化。所有下变频本机振荡器均源自具有级联紧凑、低功耗、除以 2 级的单个基准。该架构有可能实现频率可扩展的分辨率。 智力优点：本研究中的方法不受传统高速时域采样器的限制，例如对极精细时间分辨率的要求。它还避免了当前频域方法中由于需要多个非谐波相关本地振荡器而产生的主要实现瓶颈。有限镜频抑制、本地振荡器杂散和相位噪声导致的性能限制可通过电路级创新得到解决。更广泛的影响：信号数字化能力的创新满足了多个领域对技术进步的迫切需求，具有广泛的社会和科学影响，包括计算、通信、传感器、医学和基础科学。 这种独特的架构预计将能够利用多分辨率和频率可扩展设计以及这些领域的各种应用来实现新的信号处理密集型实现。参与这项研究的研究生和本科生将获得高性能数字转换器和信号处理器设计的理论和实验方面的专业知识。这项研究的结果将通过出版物和研讨会传播，并将纳入 PI 教授的研究生课程中。