摘要
通过构建RBF(径向基函数)神经网络测向模型对非均匀阵列的单信号源和多信号源进行来波方位估计。仿真实验表明,在非均匀阵列情况下基于RBF神经网络的DOA估计方法比常规的测向方法具有更高的估计精度和时效性。
The single and multiple DOA estimation model based on RBFNN is constructed to compute the angles of the received single and multiple signals.The experimental results show that the method based on RBFNN has a better performance than the conventional method in the aspects of accuracy and real-time processing.
出处
《航天电子对抗》
2012年第2期52-54,共3页
Aerospace Electronic Warfare
基金
国家自然科学基金(No.60801044)
关键词
RBF神经网络
非均匀阵列
测向
RBF neural network
non-uniform antenna array
direction finding
