| 基于粒子滤波的协作式空时联合频谱检测方法 |
| |
| 引用本文： | 麦磊鑫,秦晓卫,戴旭初.基于粒子滤波的协作式空时联合频谱检测方法[J].信号处理,2011,27(12):1904-1913. |
| |
| 作者姓名： | 麦磊鑫 秦晓卫 戴旭初 |
| |
| 作者单位： | 中国科学技术大学 电子工程与信息科学系 |
| |
| 基金项目： | 国家重点基础研究发展(973)计划，国家科技支撑计划项目课题，广东省中国科学院全面战略合作项目 |
| |
| 摘 要： | 认知无线电系统中，通过频谱检测所获得的主用户位置信息和信道使用状态信息分别反映空间域和时间域的频谱使用情况，其准确性关系到次用户伺机频谱接入的效率。本文研究空间和时间联合频谱检测问题，将其建模为主用户位置参数和信道使用状态的联合估计问题，提出了一种基于粒子滤波的协作式空时联合频谱检测方法，主要思想是采用离散随机测度逼近位置参数和信道状态的联合后验概率分布函数，根据该分布估计出主用户位置和信道状态。同时，该方法结合由估计得到的空间和时间信息，自适应选择靠近主用户且对称分布的次用户参与协作检测，增加各次用户提供信息的有效性，从而提高估计的准确性；最后，通过仿真验证了方法的有效性。
|
| 关 键 词： | 认知无线电 协作频谱检测 粒子滤波 空时联合频谱检测 参数与状态联合估计 |
| 收稿时间： | 2011-03-18 |
Particle Filtering based Joint Spatial-Temporal Spectrum Sensing Method with Cooperation |
| |
| MAI Lei-xin
,
QIN Xiao-wei
,
DAI Xu-chu.Particle Filtering based Joint Spatial-Temporal Spectrum Sensing Method with Cooperation[J].Signal Processing,2011,27(12):1904-1913. |
| |
| Authors: | MAI Lei-xin QIN Xiao-wei DAI Xu-chu |
| |
| Affiliation: | Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei |
| |
| Abstract: | In cognitive radio systems, the information of primary user location and channel usage state, which can be obtained by spectrum sensing, dipicts the spectrum usage in spatial and temporal domain, respectively. And the accuracy of the information effects the efficiency of opportunity spectrum accessing of secondary users. Joint spatial-temporal spectrum sensing problem was investigated and modeled as a combined estimation problem of primary user location and channel usage state. Then, a joint spatial-temporal cooperative spectrum sensing method based on particle filtering was proposed. The main idea of the method is to estimate primary user location and channel usage state by their joint posterior probability density function that approximated by discrete random measure. Further, considering the estimated information in spatial and temporal domain, the proposed method adaptively selects those secondary users, who are closed to the primary user and symmetrically distributed in spatial domain, for cooperative spectrum sensing. The adaptive selection of secondary user improves the availability of the information provided by secondary users, resulting in a more accuracy of the estimation. Finally, the efficiency of this method was evaluated through simulations. |
| |
| Keywords: | |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《信号处理》浏览原始摘要信息 |
|
点击此处可从《信号处理》下载全文 |
|
