期刊文献+

低信噪比下跳频信号参数盲估计 被引量:3

Blind parameter estimation of frequency-hopping signals under low SNR condition
在线阅读 下载PDF
导出
摘要 针对通信对抗的实际应用,提出了一种在低信噪比下估计跳频信号跳速的方法。首先利用谱图的无交叉干扰项和修正平滑伪Wigner-Vile分布(MSPWD)的强时频聚集性,将谱图和MSPWD进行组合得到了清晰稳健的时频分布;然后基于此分布,利用二次差分法沿着频率轴搜寻每个时间的峰值显示来校正时频矩阵;根据此时频矩阵,分别利用FFT方法、自适应门限法、代价函数法来进行跳频周期估计,仿真结果显示,时频分布经过二次差分处理后,在更低信噪比下提高了估计精度,在跳速较低时,FFT方法在低信噪比时性能较好,在跳速较高时,代价函数法性能较好。 Aimming at the actual application of communcation countermeasures,a method for the hop rate accurate estimation is proposed for the Frequency Hopping(FH) signals.A new time-frequency analysis method,short-time Fourier(STFT)and Modified Smoothed Pesudo WVD(MSPWD) synthesis is proposed,which can obtain robust results with good time-frequency concentration and suppression cross-term interference performance.The peaks of time-equeney distribution are detected based on 2-D(two-dimensional) quadratic diference method.Frequency-hopping signals hop rat estimate can be obtained through FFT method and adaptivet threshold method cost function method.The simulations show that the estimation of hop rate is efficient even if the SNR is low.When low hop rate,FFT method is best;when high hop rate,cost function method is best.
作者 齐昶 王斌
出处 《计算机工程与应用》 CSCD 2012年第3期153-155,共3页 Computer Engineering and Applications
关键词 跳频 时频分析 参数盲估计 frequency hopping time-frequency analysis parameter blind estimation
  • 相关文献

参考文献8

二级参考文献28

  • 1科恩L.时-频分析:理论与应用[M].西安:西安交通大学出版社,1998..
  • 2[美]科恩L著 自居宪译.时-频分析:理论与应用[M].西安:西安交通大学出版社,1998..
  • 3Barbarossa S. Analysis of multicomponent LFM signals by a combined Wigner-Hough transform[J]. IEEE Trans. on Signal Processing, 1995-06, 43(6): 1511-1515.
  • 4Barbarossa S. Analysis of nonlinear FM signals by pattern recognition of their time-frequency representation[J]. IEEE Signal Processing Letters, 1996-04, 3(4): 112-115.
  • 5Barbarossa S. Parameter estimation of spread spectrum frequency hopping signals using time-frequency distributions[A]. First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications [C]. 1997, 213-216.
  • 6Auger F, Flandrin P. Improving the readability of time-frequency and time-scale representations by the reassignment method[J]. IEEE Trans.Signal Processing, 1995-05, 43(5): 1068-1089.
  • 7Chung Char-Dir, Polydoros A. Parameter Estimation of Random FH signals Using Autocorrelation Techniques[J]. IEEE Trans. On Communications, 1995, 43(2/3/4): 1097-1106.
  • 8Fargues Monique P, Overdyk Howard F. wavelet-based detection of frequency hopping signals[A]. 1997. Conference Record of the 31^ST Asilomar Conference on Signals, Systems & Computers [C]. 1997, 1: 515-518.
  • 9BELOUCHRANI A, ABED-MERAIM K, CARDOSO J F, et al. A blind source separation technique using second order statistics [J]. IEEE Transactions on Signal Processing, 1997,45(2): 434 - 444.
  • 10CARDOSO J F,SOULOUMIAC. Blind beamforming for non-Gaussian signals[J]. Proceedings E IEE Radar and Signal Processing, 1993,140(6): 362-370.

共引文献142

同被引文献27

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部