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随机共振在方位估计中的应用
引用本文:王明明,刘庆华. 随机共振在方位估计中的应用[J]. 计算机工程与应用, 2011, 47(11): 142-144. DOI: 10.3778/j.issn.1002-8331.2011.11.040
作者姓名:王明明  刘庆华
作者单位:桂林电子科技大学 信息与通信学院,广西 桂林 541004
摘    要:单独的方位估计,在低信噪比下,会出现偏差。为了准确估计,提出了基于随机共振的微弱信号方位估计方法。。首先经随机共振后得到信噪比提高的信号,然后再由方位估计算法来估计出目标方位。利用方位估计中的CBF、MVDR、MUSIC算法,结合常用的微弱正弦信号和BPSK信号进行了仿真研究。结果表明:把随机共振应用到微弱信号方位估计符合理论分析,提高了目标方位估计的准确性。

关 键 词:信噪比  随机共振  常规波束形成(CBF)  最小方差无失真响应(MVDR)  多重信号分类(MUSIC)  
修稿时间: 

Application of stochastic resonance in detection estimation of signals
WANG Mingming,LIU Qinghua. Application of stochastic resonance in detection estimation of signals[J]. Computer Engineering and Applications, 2011, 47(11): 142-144. DOI: 10.3778/j.issn.1002-8331.2011.11.040
Authors:WANG Mingming  LIU Qinghua
Affiliation:School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
Abstract:Under low signal-to-noise condition,the weak signal estimation will deviate.In order to estimate accurately, stochastic resonance is used in the algorithm of direction estimation.The signal is obtained after stochastic resonance whose signalto-noise is enhanced.The algorithm of direction estimation is used to estimate the direction.CBF,MVDR and MUSIC is used in simulation research with the weak sine wave and BPSK.The experiment results show that applying stochastic resonance to directe estimation conforms to the theoretical analysis and the accuracy of the direction estimation of targes is increased.
Keywords:signal-to-noise  stochastic resonance  Conventiona Beam Former(CBF)  Minimum Variance Distortionless Response (MVDR)  Multiple Signal Classification(MUSIC)
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