Study on the joint detection algorithm based on energy block and kurtosis characteristic

Abstract

Keywords:
• normalized kurtosis,
• energy block detection,
• characteristic detection,
• joint detection

References

1. [1]

   Urkowiz H.Energy detection of unkown deterministic signals[J].Proceedings of the IEEE,1967,55(4):523.

2. [2]

   虞贵财,罗涛,乐光新.认知无线电系统中协同能量检测算法的性能研究[J].电子与信息学报,2009,31(11):2681.
   

3. [3]

   隋丹,葛临东,屈丹.一种新的基于能量检测的突发信号存在性检测算法[J].信号处理,2008,24(4):614.
   

4. [4]

   张震廷,张钦宇,张乃通.基于能量检测的脉冲超宽带接收机[J].吉林大学学报:工学版,2010,40(1):281.
   

5. [5]

   张震廷,张钦宇,张乃通.针对IR-UWB无线传感器网络的两步能量测距法[J].通信学报,2009,30(8):96.
   

6. [6]

   吴绍华,张乃通.基于UWB的无线传感器网络中的两步TOA估计法[J].软件学报,2007,18(5):1164.
   

7. [7]

   胡啸,马洪.归一化峰度及其在弱非线性系统盲辨识中的应用[J].信号处理,2010,26(9):1389.
   

8. [8]

   赵锡凯,张贤达.基于最大峰度准则的非因果AR系统盲辨识[J].电子学报,1999,27(12):126.
   

9. [9]

   Smith M E,Varshney P K.Intelligent CFAR processor based on data variability[J].IEEE Trans On AES(S0018-9251),2000,36(3):837.

10. [10]

    Guvenc I,Sahinoglu Z.Threshold selection for UWB TOA estimation based on kurtosis analysis[J].IEEE Communications Letters,2005,9(12):1025.

11. [11]

    杨晨辉,马远良,杨益新.峰值能量检测及其在被动声纳显示中的应用[J].应用声学,2003,22(50):31.
    

12. [12]

    Chen Yunfei.Improved energy detector for random signals in Gaussian noise[J].IEEE Transactions on Wirelesss Communications,2010,9(2):558.

13. [13]

    姚天任, 孙洪.现代数字信号处理[M].武汉:华中科技大学出版社,1999:184-190.
    

Proportional views