吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1838-1842.doi: 10.13229/j.cnki.jdxbgxb201406046

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基于搜索范围预测的直扩系统多普勒频偏估计

胡梅霞1, 刘毅1, 卢满宏2, 张兆维1, 李勇朝1   

  1. 1.西安电子科技大学 综合业务网理论及关键技术国家重点实验室,西安 710071;
    2.北京遥测技术研究所,北京 100076
  • 收稿日期:2013-06-25 出版日期:2014-11-01 发布日期:2014-11-01
  • 通讯作者: 李勇朝(1974-),男,教授,博士生导师.研究方向:宽带无线通信,通信信号处理,空间信息网络.
  • 作者简介:胡梅霞(1978-),女,博士研究生.研究方向:无线通信.E-mail:
  • 基金资助:
    高等学校学科创新引智计划项目(B08038); 国家自然科学基金项目(61301169,61201134,61371127); 新世纪优秀人才支持计划项目(NCET-12-0918,72131855); 高等学校博士学科点专项科研基金资助课题(20120203110002); 国家重大科技专项(20132X03003008-004); 综合业务网理论及关键技术国家重点实验室项目(ISN090105); 中央高校基本科研业务费专项基金项目(7214466701)

Searching range prediction based on Doppler frequency shift estimation method in direct spread spectrum systems

HU Mei-xia1, LIU Yi1, LU Man-hong2, ZHANG Zhao-wei1, LI Yong-zhao1   

  1. 1.State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China;
    2.Telemetry Technology Institute, Beijing 100076, China
  • Received:2013-06-25 Online:2014-11-01 Published:2014-11-01

摘要: 为了解决极低信噪比和高动态条件下多普勒频偏估计可靠性差的问题,提出了一种基于搜索范围预测的扩频系统多普勒频偏估计方法。该方法利用相邻接收信号之间多普勒频偏变化受限的特点,用已得到的多普勒频偏估计值来缩小后续频偏估计的搜索范围,从而提高多普勒频偏估计的可靠性。仿真结果表明:该方法可以有效地提升多普勒频偏估计的可靠性。

关键词: 信息处理技术, 极低信噪比, 高动态, 多普勒估计, 搜索预测

Abstract: To improve the unreliable Doppler frequency estimation under the condition of extremely low SNR and high dynamic state, a searching range prediction method was proposed based on Doppler frequency shift estimation used in spread spectrum systems. Using Doppler frequency variation limitation over adjacent two received signals, the proposed method narrows the searching range of the later estimations from the previous estimation results, thus, enhancing the estimation reliability. Simulation results show that this proposed method can effectively increase the Doppler detection reliability.

Key words: information processing, extremely low SNR, high dynamic, Doppler estimation, searching prediction

中图分类号: 

  • TN914.42
[1] Spangenberg S M, Scott I, Mclaughlin S,et al. An FFT-based approach for fast acquisition in spread spectrum communication systems[J]. Wireless Personal Communications, 2000,13(1):27-56.
[2] Aboutanios E, Mulgrew B. Iterative frequency estimation by interpolation on Fourier coefficients[J]. IEEE Transactions on Signal Processing, 2005, 53(4):1237-1242.
[3] Reisenfeld S, Aboutanios E. A new algorithm for the estimation of frequency of a complex exponential in additive Gaussian noise[J]. IEEE Communications Letters, 2003, 7(11): 549-551.
[4] 吴利平,李赞,李建东,等.复杂环境下基于噪声匹配的最大多普勒频移估计[J]. 电子学报,2011,39(4): 842-847. Wu Li-ping, Li Zan, Li Jian-dong, et al. A maximum Doppler shift estimation based on noise matching under the complex environment[J]. Journal of Electronics, 2011, 39(4): 842-847.
[5] Dai Ling-long, Wang Zhao-cheng, Wang Jun, et al. Joint code acquisition and Doppler frequency shift estimation for GPS signals[C]∥IEEE Vehicular Technology Conference,Ottawa,2010:1-5.
[6] Zakharov Y V,Baronkin V M,Tozer T C. DFT-based frequency estimators with narrow acquisition range[J]. IEE Proceedings-Communications, 2001, 148(1):1237-1242.
[7] Borio D, O'Driscoll C, Lachapelle G. Coherent, noncoherent and differentially coherent combining techniques for acquisition of new composite GNSS signals[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(3):1227-1240.
[8] Yasotharan A, Thayaparan T. Strengths and limitations of the Fourier method for detecting accelerating targets by pulse Doppler radar[J]. IEE Proceedings of Radar, Sonar and Navigation, 2002, 149(2):83-88.
[9] Winters D W. Target motion and high range resolution profile generation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(3):2140-2153.
[10] Luo Hai-kun, Wang Yong-qing, Ma Zhi-hong, et al. A segmentation motion compensation-based long-term integration method for DSSS signal[C]∥IEEE Signal Processing Conference,Beijing,2012:1287-1290.
[11] 张容权,杨建宇,熊金涛. 基于多项相位变换的线性FMCW雷达目标加速度和速度估计方法[J]. 电子学报,2005,33(3):452-455. Zhang Rong-quan, Yang Jian-yu, Xiong Jin-tao. Method for acceleration and velocity estimation of linear FMCW Radar target based on polynomial phase transform[J]. Journal of Electronics, 2005,33(3): 452-455.
[12] 蒋伟,乐天. 基于插值的多普勒频偏和频率斜升联合估计算法[J]. 电子与信息学报,2013,35(1):166-171. Jiang Wei, Le Tian. Joint estimation of Doppler frequency shift and Doppler frequency rate based on interpolation[J]. Journal of Electronics and Information Technology, 2013,35(1):166-171.
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