摘要
本文针对水声环境和水声信号的特点 ,提出了一种可用于任意阵形的自适应神经网络盲波束形成方法。该方法在未知基阵响应向量的情况下 ,利用水声信号多普勒频率信息 ,估计波束形成的权矢量 ,采用神经网络的方法实现盲波束形成 ,从而避免了矩阵的求逆运算 ,不但减小了运算量而且易于用硬件实现。此外该算法具有收敛速度快、鲁棒性强、估计精度高等优点。通过拖曳阵和体积阵的仿真实验 ,验证了所提出方法的有效性和正确性。
An adaptive blind beamforming algorithm for arbitrary underwater array was presented in this paper according to the characteristic of underwater acoustic environment and signal. Doppler information of underwater acoustic signal is used to estimate weights of beamformer without array manifold and a neural network is introduced to carry out the blind beamforming. It can not only avoid computing the inverse of a matrix but also enables the realization of the blind optimizing beamforming through hardwares. And it is demonstrated via analysis and simulation that this method is robust to system error and has the advantage of rapid convergence rate.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2003年第4期468-471,共4页
Acta Armamentarii
基金
国防科技重点实验室基金资助项目 ( 5 14 44 0 10 2 0 1HK0 3 0 2 )
( 2 0 0 0JS2 3 .2 .1)
西北工业大学博士论文创新基金资助项目 ( 2 0 0 2 0 4)
关键词
多普勒信息
盲波束形成法
声呐信号处理
水声信号
神经网络
体积阵
information processing technique, blind beamforming, underwater acoustic signal, Doppler information, neural network, voluminal array
