[1]曾晓宇,矫文成,孙慧贤.基于谱熵的单通道多跳频信号参数盲估计方法[J].如何下载365bet_365bet大小盘什么意思_365bet亚洲版官网,2019,41(01):82.[doi:.]
 ZENG Xiaoyu,JIAO Wencheng,SUN Huixian.Single-channel Multiple Frequency Hopping Signal Parameters Blind Estimation Based on Spectral Entropy[J].,2019,41(01):82.[doi:.]
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基于谱熵的单通道多跳频信号参数盲估计方法()
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《如何下载365bet_365bet大小盘什么意思_365bet亚洲版官网》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
41
期数:
2019年01
页码:
82
栏目:
出版日期:
2019-03-15

文章信息/Info

Title:
Single-channel Multiple Frequency Hopping Signal Parameters Blind Estimation Based on Spectral Entropy
文章编号:
1008-1194(2019)01-0082-05
作者:
曾晓宇矫文成孙慧贤
陆军工程大学石家庄校区,河北 石家庄 050003
Author(s):
ZENG Xiaoyu JIAO Wencheng SUN Huixian
Shijiazhuang Campus of The Army Engineering University, Shijiazhuang 050003, China
关键词:
多跳频信号跳频周期估计时频分析谱熵值PRI变换
Keywords:
multiple hopping-signal hop duration estimation time-frequency analysis spectral entropy PRI transformation
分类号:
TN911.7
DOI:
.
文献标志码:
A
摘要:
针对在单通道接收情况下对多跳频信号参数盲估计困难的问题,提出了一种基于谱熵的异步跳频参数盲估计方法。该方法在对接收信号时频分析的基础上,利用谱熵函数完成了对异步跳频信号中跳频时刻的全盲估计,并进一步通过PRI变换估计了不同分量信号的跳频周期。仿真结果表明,该方法以无交叉项干扰的时频分析方法为基础时,都能实现对异步跳频信号参数的盲估计。当信噪比不低于6 dB时,对跳频周期能满足90%以上的检测成功率与0.1以下的均方根误差值。该方法在跳频驻留时间小于跳频周期时也适用,但检测性能会有所下降。
Abstract:
For the problem of blind estimation of parameters of multiple frequency-hopping signal in single-channel reception, a blind estimation method for asynchronous hopping parameters based on spectral entropy theory was proposed. Based on the time-frequency analysis of the received signal, the method used the spectral entropy theory to complete the full blind estimation of the frequency hopping time in the asynchronous frequency hopping signal, and further estimated the frequency hopping period of different component signals by PRI transform. According to the simulation results, the method could realize the blind estimation of the parameters of asynchronous frequency hopping signal when based on the time-frequency analysis method without cross-term interference. When the signal-to-noise ratio was not lower than 6 dB, the detection success rate of 90% or more and the root-mean-square error of 0.1 or less could be satisfied for the frequency hopping period. The algorithm was also applicable when the frequency hopping dwell time is less than the frequency hopping period, but the detection performance will be reduced.

参考文献/References:

[1]Barbarossa S, Scaglione A. Parameter estimation of spread spectrum erequencyhopping signals using timefrequency distributions[C]// Signal Processing Advances in Wireless Communications. US: IEEE Xplore, 1997:213-216.
[2]Angelosante D, Giannakis G B, Sidiropoulos N D. Estimating multiple frequencyhopping signal parameters via sparse linear regression[J]. IEEE Transactions on Signal Processing, 2010, 58(10):5044-5056.
[3]Liu X, Sidiropoulos N D, Swami A. Joint hop timing and frequency estimation for collision resolution in FH networks[J]. IEEE Transactions on Wireless Communications, 2005, 4(6):3063-3074.
[4]张朝阳,曹千芊,陈文正. 多跳频信号的盲分离算法与参数估计 [J]. 浙江大学学报(工学版),2005,39(4):465-470.
[5]于欣永,郭英,张坤峰,等. 基于盲源分离的多跳频信号网台分选算法[J]. 信号处理,2017,33(8):1082-1089.
[6]Sha Z C, Huang Z T, Zhou Y Y, et al. Frequencyhopping signals sorting based on underdetermined blind source separation[J]. Iet Communications, 2013, 7(14):1456-1464.
[7]唐宁,郭英,张坤峰,等. 跳频信号跳周期盲估计算法[J]. 计算机工程与设计,2016,37(11):2861-2864.
[8]付卫红,王璐,贾坤,等. 基于STFT与SPWVD的跳频参数盲估计算法[J]. 华中科技大学学报(自然科学版),2014,42(9):59-63.
[9]程曙晖,王斌. 强干扰下跳频信号的参数估计[J]. 电讯技术,2014,54(2):132-138.
[10]齐扬阳,于淼,陈建忠. 一种基于小波包的单通道盲源分离跳频通信抗干扰方法[J]. 通信技术,2014,47(12):1360-1365
[11]刘钊宏,于林韬,任帅. 雷达信号重频分选方法分析与讨论[J]. 科技资讯,2014,12(24):27.
[12]王海滨,马琦. 一种基于PRI变换的雷达信号分选方法[J]. 现代电子技术,2013,36(1):28-31.

备注/Memo

备注/Memo:
收稿日期:2018-08-21
作者简介:曾晓宇(1994—),男,福建仙游人,硕士研究生,研究方向:无线电频谱检测与管理。E-mail:zeng_xiaoy@163.com。
更新日期/Last Update: 2019-03-28