期刊文献+

一种自适应干扰能量检测算法 被引量:2

An adaptive interference energy detection algorithm
下载PDF
导出
摘要 干扰能量检测是干扰抑制处理的基础,普通的能量检测算法性能容易受到背景噪声不确定性的影响.提出一种自适应干扰能量检测算法,该算法基于频域干扰抑制算法模型,通过背景噪声估计设定信号处理门限,自适应地调整校标值.仿真结果表明,该算法能够消除背景噪声不确定性对干扰检测性能的影响,窄带干扰的检测性能远好于普通能量检测算法. Interference energy detection is the foundation for the algorithm of interference suppression.General energy detection algorithm is simple and easy to be implemented,but the performance is easily influenced by the uncertainty of the background noise.An adaptive frequency domain energy detection algorithm which was based on frequency domain interference suppression algorithm model was presented in this paper.This algorithm set the threshold of signal through estimating the background noise power,adjusted the reference value adaptively based on the processed signal power.The simulation results showed that this algorithm could effectively eliminate the influence of the uncertain background noise.The performance of detection was much better than general energy detection algorithm extremely under narrowband interference condition.
作者 王烁 陈泽艺
出处 《安徽大学学报(自然科学版)》 CAS 北大核心 2016年第1期59-63,共5页 Journal of Anhui University(Natural Science Edition)
基金 国防科工局民用航天"十二五"预先研究项目(D030202)
关键词 干扰抑制 背景噪声 自适应 干扰能量检测 interference suppression background noise adaptation interference energy detection
  • 相关文献

参考文献12

  • 1邓韦.能量检测在认知无线电频谱感知中的应用[J].通信技术,2010,43(8):92-93. 被引量:9
  • 2WU J B,LUO T, YUE G X. An energy detection algorithm based on double-threshold in cognitive radio systemsEC://2009 1st International Conference, Information Science and Engineering, Nanjing, 2009: 493-496.
  • 3潘建国,翟旭平.基于能量检测的频谱感知方法[J].上海大学学报(自然科学版),2009,15(1):54-59. 被引量:24
  • 4WANG H, YANG E, ZHAO Z, et al. Spectrum sensing in cognitive radio using goodness of fit testing[-J]. IEEE Transactions on Wireless Communications, 2009, 8 (11) : 5427-5430.
  • 5CHEN J, GIBSON A, ZAFAR J. Cyclostationary spectrum detection in cognitive radios[C://IET Seminar on Cognitive Radio and Software Defined Radios (Technologies and Techniques), 2008: 1-5.
  • 6SHELLHAMMER S J, SHANKAR R, DANDRA J. Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs [C]//Proceedings of 1st International Workshop on Technology and Policy for Accessing Spectrum, Boston MA, 2006: 4-12.
  • 7TANDRA R, SAHAI A. Fundamental limits on detections in low SNR under noise uncertainly[C]// Proceedings of the Wireless COM, 2005: 464-469.
  • 8PETERSONRL,ZIEMERRE,BORTHDE扩频通信导论[M].沈丽丽,侯永宏,马兰,等译.北京:电子工业出版社,2006.
  • 9皮亦鸣,张婧,蔡昌听.GPS信号的差分相关捕获算法研究[J].全球定位系统,2006,31(4):1-4. 被引量:10
  • 10张春海,卢树军,张尔扬.基于加窗DFT的DSSS系统变换域窄带干扰抑制技术[J].解放军理工大学学报(自然科学版),2004,5(4):11-15. 被引量:17

二级参考文献25

  • 1MITOLA J. Cognitive radio: making software radios more personal [J]. IEEE Pers Commun, 1999, 6(4) :13-18.
  • 2SAHAI A, HOVEN N, TANDRA R. Some fundamental limits on cognitive radio [ C] // Forty-Second Allerton Conference on Communication, Control and Computing, Monticello, Va, USA. 2004:10.
  • 3URKOWITZ H. Energy detection of unknown detenninistic signals [J]. Proc IEEE, 1967, 55:523-531.
  • 4SHELLHAMMER S, TAWIL V, CHOUINARD G, et al. IEEE 802. 22-06/0028r5, Spectrum sensing simulation model[S]. 2006.
  • 5TANDRA R, SAHAI A. Fundamental limits on detection in low SNR under noise uncertainty [ C] // Proc of the Wireless Comm' 05 Symposium on Signal Processing.2005:464-469.
  • 6SONNENSCHEIN A, FISHMAN P M. Radiometric detection of spread-spectrum signals in noise of uncertain power [J]. IEEE Trans on AES, 1992, 28(3) :654-660.
  • 7SADJADI F. Hypotheses testing in a distributed environment [ J]. IEEE Trans on AES, 1986, 22 (2) : 134-137.
  • 8TENNY R R, SANDELL N R. Detection with distributed sensors [J]. IEEE Trans on AES, 1981, 17(4):501- 510.
  • 9罗鹏飞,张文明,刘福生.随机信号分析.长沙:国防科学技术大学出版社,2000.
  • 10[2]JONES W W,JONES K R. Narrow-band interference suppression using filter-bank analysis/synthesis techniques[A].In: IEEE MILCOM'1992[C].San Diego: MILCOM, 1992.

共引文献54

同被引文献23

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部