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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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

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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

CLC Number: 

  • 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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