Underlay认知下时频重叠信号的分量个数估计

doi:10.3969/j.issn.1001-2400.2017.06.008

西安电子科技大学学报

Underlay认知下时频重叠信号的分量个数估计

刘明骞1,2,3;陈钱2;吴芸3;王江宏1

(1. 西安电子科技大学信息感知技术协同创新中心，陕西西安 710071；
2. 南京理工大学电子工程与光电技术学院，江苏南京 210094;
3. 徐州雷奥医疗设备有限公司，江苏徐州 221116)

收稿日期:2016-12-07 出版日期:2017-12-20 发布日期:2018-01-18
作者简介:刘明骞(1982-)，男，讲师，博士，E-mail: mqliu@mail.xidian.edu.cn
基金资助:
国家自然科学基金资助项目(61501348，61271299)；国家博士后科学基金资助项目(2017M611912)；陕西省自然科学基础研究计划资助项目(2016JQ6039)；江苏省博士后科研资助项目(1701059B)；高等学校学科创新引智计划资助项目(B08038)

Component number estimation of time-frequency overlapped signals in underlay cognitive radio

LIU Mingqian1,2,3;CHEN Qian2;WU Yun3;WANG Jianghong1

（1. Collaborative Innovation Center of Information Sensing and Understanding, Xidian Univ., Xi'an 710071, China;
2. School of Electronic and Optical Engineering, Nanjing Univ. of Science and Technology, Nanjing 210094, China;
3. Xuzhou LEO Medical Equipments Co., Ltd., Xuzhou 221116, China)

Received:2016-12-07 Online:2017-12-20 Published:2018-01-18

摘要/Abstract

摘要：

针对在低信噪比环境，underlay频谱共享方式下时频重叠信号的信号分量个数估计性能低的问题，提出了一种时频重叠信号的信号分量个数的估计新方法．该方法首先利用动态延时构造出虚拟阵列信号，然后利用噪声奇异值变化不大的特点构造特征量和估计准则，从而估计出underlay频谱共享方式下时频重叠信号的信号分量个数．仿真结果表明，所提方法在低信噪比和高频谱重叠率条件下，比现有方法的估计性能更好．

关键词: 认知无线电, 参数估计, 时频重叠, 频谱共享, 个数估计

Abstract:

This paper proposes a novel method to estimate the number of signal components of time-frequency overlapped signals in low signal to noise ratio environment of the underlay spectrum sharing mode. First, the virtual array signal is constructed by dynamic delay, and then the feature quantity and estimation criterion are constructed by using the characteristic that the noise singular value is not changed very much, and the number of signal components of time-frequency overlapped signals in the underlay spectrum sharing mode is estimated. Simulation results show that the performance of the proposed method is better than that of the existing methods under the conditions of low SNR and high spectrum overlapped rates.

Key words: cognitive radio, parameter estimation, time-frequency overlapped, spectrum sharing, number estimation

刘明骞;陈钱;吴芸;王江宏. Underlay认知下时频重叠信号的分量个数估计[J]. 西安电子科技大学学报, 2017, 44(6): 43-47+64.

LIU Mingqian;CHEN Qian;WU Yun;WANG Jianghong. Component number estimation of time-frequency overlapped signals in underlay cognitive radio[J]. Journal of Xidian University, 2017, 44(6): 43-47+64.

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Underlay认知下时频重叠信号的分量个数估计

Component number estimation of time-frequency overlapped signals in underlay cognitive radio

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