Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN 38505, USA; E-Mails:
Sensors (Basel). 2009;9(8):6530-603. doi: 10.3390/s90806530. Epub 2009 Aug 21.
Dynamic spectrum access is a must-have ingredient for future sensors that are ideally cognitive. The goal of this paper is a tutorial treatment of wideband cognitive radio and radar-a convergence of (1) algorithms survey, (2) hardware platforms survey, (3) challenges for multi-function (radar/communications) multi-GHz front end, (4) compressed sensing for multi-GHz waveforms-revolutionary A/D, (5) machine learning for cognitive radio/radar, (6) quickest detection, and (7) overlay/underlay cognitive radio waveforms. One focus of this paper is to address the multi-GHz front end, which is the challenge for the next-generation cognitive sensors. The unifying theme of this paper is to spell out the convergence for cognitive radio, radar, and anti-jamming. Moore's law drives the system functions into digital parts. From a system viewpoint, this paper gives the first comprehensive treatment for the functions and the challenges of this multi-function (wideband) system. This paper brings together the inter-disciplinary knowledge.
动态频谱接入是未来理想认知传感器的必备要素。本文的目标是对宽带认知无线电和雷达进行教程式处理——融合 (1) 算法调查、(2) 硬件平台调查、(3) 多功能 (雷达/通信) 多千兆赫前端的挑战、(4) 多千兆赫波形的压缩感知——革命性的 A/D、(5) 认知无线电/雷达的机器学习、(6) 最快检测以及 (7) 覆盖/叠盖认知无线电波形。本文的一个重点是解决多千兆赫前端问题,这是下一代认知传感器的挑战。本文的统一主题是阐述认知无线电、雷达和抗干扰的融合。摩尔定律将系统功能推向数字部分。从系统的角度来看,本文首次全面处理了多功能 (宽带) 系统的功能和挑战。本文汇集了跨学科的知识。