有效地校正由上述因素产生的误差以获得良好的天线副瓣电平和信号处理能力，一直是人们着重研究的课题。
It is always an important problem to effectively correct the errors due to the above mentioned reasons to achieve excellent antenna sidelobe level and signal processing capability.
计算机模拟实验结果显示了该网络较好地利用了离散傅立叶交换在结构和性能上的优点，在天线罩视线误差校正建模研究上很好的效果。
The simulation results show that this kind of DFT neural network can take the advantage of its structure and performance, and get a good result in the modeling of error correcting.
论述了一种用于智能天线系统的新型圆形天线阵列与校正网络的设计方法。
A novel design procedure of a circular antenna array and its calibration technique for smart antenna system is proposed.
应用推荐