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 signal-
to-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.

Key words: signal-to-noise, stochastic resonance, Conventiona Beam Former（CBF）, Minimum Variance Distortionless Response（MVDR）, Multiple Signal Classification（MUSIC）

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）