通过调整模块的工作参数,提出了一种对距离选通成像系统性能进行在线优化的方法。将眼图参数视为一个随系统可调参数变化的随机变量,采用高斯过程回归方法拟合此变化关系,并在学习过程中引入参数优化步骤,从而在更快速地从高维参数空间中学习到随机过程变化特征的同时优化系统参数。实验结果表明:所提方法可在线优化系统参数配置,提高距离分辨能力,揭示模块参数配置对距离分辨能力的影响,可为成像系统的设计提供一定依据。

An online optimization method for improving the performance of a range-gated imaging system is introduced by means of adaptively adjusting the operation parameters of modules. The eye pattern parameter is treated as a random variable varying with the tunable parameters of the system, and the Gaussian process regression method is applied for fitting this variation relationship. In addition, the parameter optimization procedure is also involved in the learning process. Thus the variable characteristic of a random process in the high dimensional parameter space is learnt rapidly, and simultaneously the system parameters are optimized. The experimental results show that the proposed method can be used to optimize the system parameter configuration online and improve the range resolution. The dependence of the range resolution on the configuration parameters of modules is illustrated, which provides a basis for the design of an imaging system.