The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.
传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。
The early fault signal is very faint, low frequency appears more to pulse, easy to be interfered by the ambient noise even submerged.
早期故障信号非常微弱，多呈现低频脉动，容易受到噪声干扰甚至被环境噪声所淹没。
This paper presents a low phase noise indirect frequency synthesizer, which used in airborne fire control radar and is required to operate in a very harsh environment.
提出了一种间接合成的低相位噪声频率综合器的设计，该频综器用于某机载雷达中，从而要求其在极其恶劣的环境中同样具有良好的性能。
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