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基于任意阵列结构的欠采样频率估计

Frequency estimation based on array structure of any form with sub-Nyquist sampling
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摘要 针对电子战接收机对宽带信号频率的无模糊估计要求,提出基于任意阵列结构的欠采样频率估计算法。采用两个工作时间步长不等的控制开关,将各阵元接收信号依次接入两个独立的接收通道,并以小于Nyqist采样频率的速率对送入的信号进行采样,通过接收通道的时间相关运算及相应的频率解模糊算法实现频率的无模糊估计,最后给出了正确解模糊的条件。由于各信号的估计可以并行实现,该方法在一维搜索量小的优势下实现了同时多信号的频率估计,计算机仿真结果表明此方法测量精度较高,对噪声影响具有一定稳健性。 To meet the requirement of unambiguous frequency estimation for electronic war receiver,a new method based on array structure of any form with wideband sub-Nyquist sampled data is proposed.By using two control switches with different working time period,signals from different elements are transported into two independent channels.With the aid of time correlating algorithm of two independent sampling channels and the paired solving frequency ambiguity method,frequency parameter is estimated unambiguously for wide band signal.Finally the condition of of solving ambiguous correctly is provided.As signals parameters estimated in parallel,this method can realize simultaneous signals frequencies measurement with the superiority of small search in one dimension.Simulation results indicate that the method can accomplish accurate estimation with good anti noise performance and low computational cost,besides,it is practical.
作者 常虹
出处 《西安邮电学院学报》 2012年第6期48-51,120,共5页 Journal of Xi'an Institute of Posts and Telecommunications
关键词 宽带信号 欠采样 任意阵列结构 时间相关 解频率模糊 wideband signal sub-Nyquist sampling array structure of any form time correlation solving frequency ambiguity
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  • 1任勋立,廖桂生,曾操.一种低复杂度的二维波达方向估计方法[J].电波科学学报,2005,20(4):526-530. 被引量:12
  • 2[1]D.W.Tufts and R.Kumaresan. Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood[J]. Proc. IEEE, 1982,70: 975~989.
  • 3[2]P.Stoica, R.L.Moses, B.Friedlander and T.Soderstrom. Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements[J]. IEEE Trans. on ASSP, 1989, 37(3): 378~391.
  • 4[3]M.D.Zoltwski , C.P. Mathews. Real-time frequency and 2-D angle estimation with sub-Nyquist spatio-temporal sampling[J]. IEEE Trans. on SP, 1994 42(10): 2781~2794.
  • 5[4]Zoltwski M., D.,Stavrinides.D.. Sensor array signal processing via a procrustes ratations based eigenanalysis of the ESPRIT data pencil[J]. IEEE Trans. on ASSP, 1989,37(6): 832~861.
  • 6Swindlehurst A L, Stoica P, and Jansson M. Exploitingarrays with multiple invariances using music and mode[J]. IEEE Transactions on Signal Processing, 2001, 49(11): 2511-2521.
  • 7Wax M, Shan T J, and Kailath T. Spatio-temporal spectral analysis by eigenstructure methods[J]. IEEE Transactions on Acoustics, Speech, Signal Processing, 1984, 32(4): 817-827.
  • 8Strobach P. Total least squares phased averaging and 3-D ESPRIT for joint azimuth-elevation carrier estimation[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 54-62.
  • 9Sidiropoulos N D, Bro R, and Giannakis G B. Parallel factoranalysis in sensor array processing[J]. IEEE Transactions on Signal Processing, 2000, 48(8): 2377-2388.
  • 10Zhang X, Gao X, and Xu D. Novel blind carrier frequency offset estimation for OFDM system with multiple antennas[J] IEEE Transactions on Wireless Communications, 2010, 9(3): 881-885.

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