CIF: Small: Collaborative Research: Signal Design for Low-Complexity Active Sensing

CIF：小型：协作研究：低复杂性主动传感的信号设计

• 批准号: 0916314
• 负责人: Ali Pezeshki
• 金额: $ 16.15万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916314&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Signal

Abstract"This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5)."This research program is motivated by the recognition that the volume of sensor data is expected to overwhelm even the enormous performance improvements in silicon technology expressed by Moore's Law. The focus is the development of a low-complexity alternative to non-adaptive image formation through innovations in signal design. The objectives support closer monitoring of weather patterns and may lead to a more detailed understanding of climate change. They also impact a wider range of surveillance applications from microwave landing systems to through-wall imaging. The research program is highly interdisciplinary with signal processing as the bridge between application domains and the mathematics of sequence design.Current hardware allows transmission of wavefields that vary across space, polarization, time and frequency and which can be changed in rapid succession. However, sensing resolution is limited, not by hardware, but by the complexity of remote image formation. This research program develops new signal design principles that enable fast and reliable active sensing with minimal receiver signal processing complexity. The basic unit of transmission is a unitary matrix of phase coded waveforms indexed by array element and by pulse repetition interval, where the polarization of constituent waveforms may vary. Golay Complementary waveforms appear as entries of these matrices. Appropriate sequencing of unitary waveform matrices in time eliminates Doppler induced range sidelobes and provides resilience to multipath without compromising the simplicity of signal processing. OFDM signaling of complementary waveforms improves performance beyond conventional matched filtering by introducing nonlinear signal processing that exchanges static sidelobes for more dynamic cross-terms. The development of a new mathematical framework based on group theory enables the systematic construction of new complementary sequences.

摘要“该奖项是根据2009年的《美国回收与再投资法》（公法111-5）资助的。”该研究计划的激励是因为人们认识到，传感器数据的数量预计甚至淹没了摩尔法律所表达的硅技术的巨大性能改进。重点是通过信号设计中的创新来开发非自适应图像形成的低复杂性替代品。这些目标支持对天气模式进行更密切的监控，并可能导致对气候变化的更详细的了解。它们还影响了从微波着陆系统到通过壁成像的更广泛的监视应用。该研究计划是高度跨学科的信号处理，作为应用域之间的桥梁和序列设计的数学之间的桥梁。电流硬件允许传输在空间，极化，时间和频率之间变化的波场，并且可以快速连续更改。但是，传感分辨率是有限的，不是硬件，而是远程图像形成的复杂性。该研究计划开发了新的信号设计原理，以最小的接收器信号处理复杂性，可以快速可靠的主动感测。传输的基本单元是相位编码波形的统一矩阵，该矩阵由数组元件和脉冲重复间隔索引，其中组成波形的极化可能会有所不同。 Golay互补波形作为这些矩阵的条目出现。及时对单位波形矩阵进行适当的测序消除了多普勒诱导的范围旁观，并为多径提供了弹性，而不会损害信号处理的简单性。互补波形的OFDM信号传导通过引入非线性信号处理来改善传统匹配过滤外的性能，该非线性信号处理将静态旁路交换以获得更多动态的交叉。基于群体理论的新数学框架的开发使新互补序列的系统构建。