Blind signal recognition for emerging wireless communications
Blind signal recognition for emerging wireless communications
批准号:
327285-2007
负责人:
Dobre, Octavia
金额:
$1.17万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2007
资助国家:
加拿大
项目状态:
已结题
起止时间:
2007-01-01 至 2008-12-31
中文摘要
在商业无线服务快速增长的世界中,满足对频谱接入、效率和可靠性的爆炸性需求变得越来越具有技术挑战性。此外,在拥挤的电磁频谱中为军事应用实现先进的信息服务对通信工程师来说是一项具有挑战性的任务。灵活的智能无线电提供了一种解决方案,能够感知和适应环境,其中盲信号识别是一项重要任务。对于今天的软件定义无线电(SDR)产品,智能无线电只是下一步,而不是一个飞跃, 该研究计划的目标是开发一个用于商业和军事应用的高级信号识别框架。盲信号识别算法的设计涉及到信号的检测与分离、参数估计与均衡、调制方式分类等。 本论文还将讨论正交频分复用(OFDM)和多输入多输出(MIMO)无线技术在信号识别中的新的和具有挑战性的问题,这些研究结果将有助于我们理解可用于盲信号识别的方法和技术。这项研究将有助于下一代无线电的概念和解决方案的发展。在这项研究中开发的算法套件可以作为一个引擎,SDR用于新兴的商业和军事通信系统。
英文摘要
In a world of rapid growth of commercial wireless services, accommodating the explosive demand for spectrum access, efficiency and reliability becomes increasingly technically challenging. Furthermore, implementation of advanced information services for military applications in a crowded electromagnetic spectrum is a challenging task for communication engineers. A solution is provided by flexible intelligent radios, capable of sensing and adapting to the environment, in which blind signal recognition is an important task. With software defined radio (SDR) products today, intelligent radio is just the next step, and not a leap, in radio development.The objective of this research program is to develop a framework for advanced signal recognition for both commercial and military applications. Blind signal recognition algorithms will be devised, which relate to signal detection and separation, parameter estimation and equalization, and modulation classification. New and challenging issues in signal recognition will also be addressed, which are raised by the emerging orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output (MIMO) wireless technologies.Results of this research will facilitate our understanding of the methodologies and techniques which can be used for blind signal recognition. This research will contribute to the development of concepts and solutions for future generation radios. The suite of algorithms developed in this research can serve as an engine for SDR to be used in emerging commercial and military communication systems.
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