基于滑窗和原子字典的压缩域跳频信号参数估计算法

doi:10.11999/JEIT170084

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摘要

现有跳频信号参数估计算法大多没有考虑跳频信号的结构特性，在低信噪比下存在计算复杂度高或估计精度低的缺点，针对这一问题，该文提出一种基于滑窗和原子字典的压缩域跳频信号参数估计算法。用滑窗法对所处理的跳频信号进行整周期滑动压缩采样，粗略估计出跳频信号的跳变时刻，以块对角化的傅里叶正交基作为稀疏基精确估计出跳变前后的频率，在此基础上构建可以表示跳频信号局部时频特性的原子字典，通过匹配追踪算法准确估计出跳频信号的跳变时刻。实验结果表明，该算法在显著降低信号采样数据量和计算复杂度的同时，保持了跳频信号参数的高精度估计。

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	付卫红
	张云飞
	韦娟
	刘乃安

关键词 ：跳频信号, 压缩采样, 参数估计, 原子字典

Abstract：Most existing parameter estimation algorithms for Frequency Hopping (FH) signal do not consider the structural characteristics of FH signals, and have the disadvantages of high computational complexity or low estimation accuracy in low signal-to-noise ratio circumstance. To solve this problem, this paper proposes a parameter estimation algorithm for frequency hopping signal in compressed domain based on sliding window and atomic dictionary. The frequency hopping signal is acquired by sliding compression sampling, and hopping time is roughly estimated with sliding window method. The Fourier orthogonal basis of block diagonalization is used as sparse basis to estimate the frequency of the signal. An atomic dictionary, which can represent the local time-frequency characteristics of the frequency hopping signal, is constructed based on the estimated frequency and rough hopping time. Then the hopping time can be estimated accurately by the matching pursuit algorithm. Simulation results show that this algorithm can significantly reduce the sampling data and computational complexity, while maintaining the high accuracy estimation.

Key words： Frequency-hopping signal Compressive sampling Parameter estimation Atomic dictionary

收稿日期: 2017-01-23 出版日期: 2017-06-27

PACS:

TN914.41

基金资助:

国家自然科学基金(61201134)，高等学校学科引智计划(B08038)

通讯作者: 张云飞：女，1992年生，硕士生，研究方向为跳频信号参数估计、压缩感知. E-mail: 1368919836@qq.com

作者简介: 付卫红：女，1979年生，副教授，研究方向为宽带无线通信、通信信号处理. 张云飞：女，1992年生，硕士生，研究方向为跳频信号参数估计、压缩感知. 韦娟：女，1973年生，副教授，研究方向为卫星通信与移动通信. 刘乃安：男，1966年生，教授，研究方向为无线通信与射频、扩展频谱通信与通信对抗.

引用本文:

付卫红,张云飞,韦娟,刘乃安. 基于滑窗和原子字典的压缩域跳频信号参数估计算法[J]. 电子与信息学报, 2017, 39(11): 2600-2606. FU Weihong, ZHANG Yunfei, WEI Juan, LIU Naian . Parameter Estimation Algorithm for Frequency-hopping Signal in Compressed Domain Based on Sliding Window and Atomic Dictionary. JEIT, 2017, 39(11): 2600-2606.

链接本文:

http://jeit.ie.ac.cn/CN/10.11999/JEIT170084 或 http://jeit.ie.ac.cn/CN/Y2017/V39/I11/2600

[1]	TORRIERI D J. Mobile frequency-hopping CDMA system [J]. IEEE Transactions on Communications, 2000, 48(8): 1318-1327. doi: 10.1109/26.864169.
[2]	AMIN M G. Interference mitigation in spread spectrum communication systems using time-frequency distributions[J]. IEEE Transactions on Signal Processing, 1997, 45(1): 90-101. doi: 10.1109/78.552208.
[3]	赵俊, 张朝阳, 赖利峰, 等. 一种基于时频分析的跳频信号参数盲估计方法[J]. 电路与系统学报, 2003, 8(3): 46-50. doi: 10.3969/j.issn.1007-0249.2003.03.011.
	ZHAO Jun, ZHANG Chaoyang, LAI Lifeng, et al. Blind parameter estimation of frequency-hopping signals based on time-frequency analysis[J]. Journal of Circuits and Systems, 2003, 8(3): 46-50. doi: 10.3969/j.issn.1007-0249.2003.03.011.
[4]	BSRBAROSSA S and SCAGLIONE A. Parameter estimation of spread spectrum frequency hopping signals using time-frequency distributions[C]. Signal Processing Advances in Wireless Communications of First Signal Processing Workshop, Paris, France, 1997: 213-216.
[5]	ANGELOSANTE D and GIANNAKIS G B. Estimating multiple frequency-hopping signal parameters via sparse linear regression[J]. IEEE Transations on Signal Processing, 2010, 58(10): 5044-5056. doi: 10.1109/TSP.2010. 2052614.
[6]	吕晨杰, 王斌, 唐涛. 采用局部特征尺度分解的跳频信号参数盲估计算法[J]. 信号处理, 2015, 31(3): 308-313. doi: 10.3969/ j.issn.1003-0530.2015.03.008.
	LÜ Chenjie, WANG Bin, and TANG Tao. Blind parameter estimation of frequency hopping signal using local characteristic-scale decomposition[J]. Journal of Signal Processing, 2015, 31(3): 308-313. doi: 10.3969/j.issn.1003- 0530.2005.03.008.
[7]	范海宁, 郭英. 一种新的跳频信号参数盲估计算法[J]. 信号处理, 2009, 25(11): 1754-1758. doi: 10.3969/j.issn.1003-0530. 2009.11.017.
	FAN Haining and GUO Ying. A novel blind parameter estimation algorithm of frequency-hoppig signals[J]. Signal Processing, 2009, 25(11): 1754-1758. doi: 10.3969/j.issn.1003- 0530.2009.11.017.
[8]	HUANG Anmin, GUAN Gui, MEHBODNIYA A, et al. A block orthogonal matching pursuit algorithm based on sensing dictionary[J]. International Journal of the Physical Sciences, 2011, 6(5): 992-999. doi: 10.5897/ IJPS11.171.
[9]	范海宁, 郭英, 艾宇. 基于原子分解的跳频信号盲检测和参数盲估计算法[J]. 信号处理, 2010, 26(5): 695-702. doi: 10.3969/ j.issn.1003-0530.2010.05.010.
	FAN Haining, GUO Ying, and AI Yu. Blind detection and parameter estimation algorithm based on atomic decomposition[J]. Signal Processing, 2010, 26(5): 695-702. doi: 10.3969/j.issn.1003-0530.2010.05.010.
[10]	CANDES E J, ROMBERG J, and TAO T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509. doi: 10.1109/TIT.2005.862083.
[11]	CANDES E J and TAO T. Near-optimal signal recovery from random projections:universal encoding strategies[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425. doi: 10.1109/TIT.2006.885507.
[12]	RICHARD G, CANDES E, ROBERT N, et al. Compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 12-13. doi: 10/1109/MSP.2008.915557.
[13]	张春磊, 李立春, 王大鸣. 压缩域宽带跳频信号跳变时刻估计算法[J]. 太赫兹科学与电子信息学报, 2015, 13(1): 122-129. doi: 10.11805/TKYDA201501.0122.
	ZHANG Chunlei, LI Lichun, and WANG Daming. A hopping transition time estimation algorithm for wide-band frequency-hopping signal in compressed domain[J]. Journal of Terahertz Science and Electronic Information Technology, 2015, 13(1): 122-128. doi: 10.11805/TKYDA2015.0122.
[14]	ZHAO Lifan, WANG Lu, BI Guoan, et al. Robust frequency- hopping spectrum estimation based on sparse Bayesian method[J]. IEEE Transactions on Wireless Communications, 2015, 14(2): 781-793. doi: 10.1109/ TWC.2014.2360191.
[15]	陈莹, 钟菲, 郭树旭. 非合作跳频信号参数的盲压缩感知估计[J]. 雷达学报, 2016, 5(5): 531-537. doi: 10.12000/JR15106.
	CHEN Ying, ZHONG Fei, and GUO Shuxu. Blind compressed sensing parameter estimation of non-cooperative frequency hopping signal[J]. Journal of Radars, 2016, 5(5): 531-537. doi: 10.12000/JR15106.
[16]	WANG Lixin, ZHANG Binze, and ZHAO Yizhi. Compressive sampling and rapid reconstruction of broadband frequency hopping signals with interference[J]. Circuits, Systems, and Signal Processing, 2015, 34(5): 1535-1547. doi: 10.1007/ s00034-014-9912-4.