Wideband cognitive sensing from a few bits

来自几个比特的宽带认知感知

基本信息

批准号：
1231504
负责人：
Nikolaos Sidiropoulos
金额：
$ 36万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-10-01 至 2016-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1231504&HistoricalAwards=false
关键词：
Wideband cognitive sensing few bits

项目摘要

Objective: Spectrum sensing is the most important element of cognitive radio, as it forms the ba-sis for adaptive spectrum sharing. Wideband spectrum sensing without frequency sweeping orNyquist-rate sampling is a challenging problem, especially for network sensing from low-end sen-sors with limited communication capabilities. Assume that each sensor can only down-convert,filter, and send out a binary signal when it measures energy above threshold at its filter?s output.Is it possible to form a satisfactory estimate of the ambient power spectrum using just a few suchbits? This is the question at the core of this project, and exciting preliminary results suggest thatthe answer is on the affirmative. A well-rounded research program has been designed to buildupon these preliminary findings. The research will evolve along four thrusts: i) core system designand performance analysis; ii) distributed implementation; iii) relevant extensions, such as adaptivesensing; and iv) software radio experiments.Intellectual merit: Power spectrum estimation from few wideband energy detection bits has neverbeen considered - yet is a fundamental extension of spectral analysis. Exciting new applicationsof convex optimization theory and methods will be found in the area of network-based spectrumestimation.Broader impacts: Wideband spectrum sensing using cheap sensors and few bits is a transformativeidea that has the potential to permeate the benefits of cognitive radio down to commodity hardware- something currently far from reality. The topic is highly conducive for involving students andtraining the next generation of wireless engineers.

目的：频谱传感是认知无线电的最重要元素，因为它构成了自适应频谱共享的BA-SIS。宽带光谱传感没有频率清除Ornyquist-rate采样是一个具有挑战性的问题，尤其是对于来自通信功能有限的低端SEN传感网络感测。假设每个传感器只能在其过滤器输出处测量阈值以上的能量时，只能在转换，过滤和发送一个二进制信号。是否只使用几个这样的盒子就可以对环境功率谱进行满意的估计？这是该项目核心的问题，令人兴奋的初步结果表明答案是肯定的。一项全面的研究计划旨在建立这些初步发现。该研究将沿着四个推力发展：i）核心系统设计和性能分析； ii）分布式实施； iii）相关扩展，例如自适应启动； IV）软件无线电实验。智能优点：很少有宽带能量检测位的功率谱估计已经考虑过 - 但是是光谱分析的基本扩展。令人兴奋的凸优化理论的新应用和方法将在基于网络的频谱限制的领域中找到。Boader的影响：使用便宜的传感器使用宽带光谱传感，很少有一些变革性是一种变革性的，它有可能渗透到认知无线电上的益处，从而使认知无线电对秘密硬件的好处 - 目前远非现实。该主题极为有利于让学生和培训下一代无线工程师。