| 一种多信道突发信号联合检测方法 |
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| 引用本文： | 卓琨,张衡阳,戚云军,郑博. 一种多信道突发信号联合检测方法[J]. 重庆邮电大学学报(自然科学版), 2015, 27(3): 317-322. DOI: 10.3979/j.issn.1673-825X.2015.03.005 |
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| 作者姓名： | 卓琨 张衡阳 戚云军 郑博 |
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| 作者单位： | 1. 空军工程大学信息与导航学院,陕西西安,710077;2. 空军工程大学信息与导航学院,陕西西安710077;解放军94188部队,陕西西安710077 |
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| 基金项目： | 国家自然科学基金(61202490)；航空科学基金(2013ZC15008 |
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| 摘 要： | 针对突发信号检测中能量检测方法检测概率低、循环平稳检测方法计算复杂等问题,为提高检测性能和处理实时性,提出了一种适用于多信道突发信号的低复杂度联合检测方法.该方法依据初始能量检测的判决结果,对可能存在突发信号的频谱集合采用了一种频域简化的循环平稳检测方法,并依据判决流程给出了与传统方法在检测正确率和运算量上的对比函数.理论分析和仿真结果表明,该联合检测方法可有效提高突发信号的检测概率并降低计算复杂度.
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| 关 键 词： | 突发信号 能量检测 循环平稳检测 联合检测 |
| 收稿时间： | 2015-01-02 |
| 修稿时间： | 2015-04-20 |
Joint detection method for burst signals of multi-channel |
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| ZHUO Kun,ZHANG Hengyang,QI Yunjun and ZHENG Bo. Joint detection method for burst signals of multi-channel[J]. Journal of Chongqing University of Posts and Telecommunications, 2015, 27(3): 317-322. DOI: 10.3979/j.issn.1673-825X.2015.03.005 |
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| Authors: | ZHUO Kun ZHANG Hengyang QI Yunjun ZHENG Bo |
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| Affiliation: | Information and Navigation College , Air Force Engineering University , Xi, an 710077 , P. R. China,Information and Navigation College , Air Force Engineering University , Xi, an 710077 , P. R. China,Information and Navigation College , Air Force Engineering University , Xi, an 710077 , P. R. China and Information and Navigation College , Air Force Engineering University , Xi, an 710077 , P. R. China |
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| Abstract: | A method with low complexity joint detection applied to the burst signals of multi-channel is presented , which aims at improving the low probability of energy detection in low SNR and high computation complex for traditional cyclostationary detection and obtaining the higher detection and real time performance in the presence detection for burst signals. According to the initial judgment result of energy detection, a frequency-domain simplified eye lo stationary detection is adopted on spectrum set which may exist burst signals , according to the flowchart for decision making in joint detection , the analysis and simulation results both indicate that, it is effective to use the proposed joint detection method to improve burst signal detection efficiency and reduce the computation complex. |
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| Keywords: | burst signals energy detection cyclostationary detection joint detection |
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