用TH神经网络方法外推数据的超分辨雷达成象

 研究用Ｔａｎｋ－Ｈｏｐｆｉｅｌｄ神经网络（ＴＨＮＮ）求解ＡＲ模型参数作数据外推的超分辨雷达成象,并用微波暗室实测数据对ＴＨＮＮ方法和Ｂｕｒｇ方法作了验证,结果表明,两种方法均能在较低的信噪比条件下实现超分辨成象,且随着ＶＬＳＩ技术的发展,神经网络方法将是一种很有希望的超分辨成象方法。

SUPERRESOLUTION RADAR IMAGING WITH EXTRAPOLATING DATA USING NEURAL NETWORK

ata extraploation super-resolution radar imaging with AR parameters estimated by Tank-Hopfield neural network(THNN)is investigated,and the real data in the microwave anechoic chamber are proeessed by the TH neural network method and Burg method.Imaging results indicate that both methods can complete superresolution imaging under the lower SIN,and with the developing of the VLSI technology,the neural network method will be a very promising super resolution imaging method.