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在毫米波被动探测技术中,反演目标的辐射亮温是其重要的内容之一。文中采用共轭梯度法从测得目标的天线温度数据反演出毫米波目标辐射亮温,用BP神经网络给出学习误差曲线,并验证了反演方法的有效性。
In the millimeter-wave passive detection technology, the target of radiation brightness temperature is one of the important content. Conjugate gradient method is used to invert the brightness temperature of the millimeter wave target from the measured antenna temperature data. The learning error curve is given by BP neural network and the validity of the inversion method is verified.