针对水下无源导航（形辅助导航）系统的特点,充分利用各种海洋地理特征传感器获取信息，行数据预处理、算法分析、性能评估，后进行智能数据融合，而完成水下无源导航系统模块化的仿真设计，水下无源导航系统的进一步研究提供可行的方法和技术。仿真结果表明，用水下地形匹配辅助导航，能够有效地修正惯导误差达到设计要求，为真实海洋环境下的精确导航提供可靠的技术依据。

At present, a new integrated navigation, which is used in the location function of reference gravity anomaly map to control the errors of Inertial Navigation System (INS), is developed in marine navigation. It is named Gravity Aided INS. Both INS and gravity anomaly computed in real-time need a three-dimensional marine normal gravity model. Conventionally, a reduction method applied in geophysical survey is directly introduced to process observed value. This reduction doesn't separate anomaly and normal gravity in observed value, so errors are occurred. The three dimensional marine normal gravity model is derived from J2 gravity model, and suitable for the region depth less than 1000m. Also some experiments and calculations are finished.

An observa tor is combined with fuzzy set theory and neural networks for monitoring transformer operation-state. It has overcome the limitations such as the dependency on experts for fuzzy rule and no auto-adaptation for fuzzy set. The auto-regulation of membership functions and the self-organization of fuzzy rule are realized by the self-learning of the neural networks. This approach is proven by experiments.

In order to research the global change and analyze the characteristics of land surface or atmosphere, an Earth Observation Station usually needs a high-definition large screen to display the satellite remote sensing image. Under the development of digital imaging technology, this application can be put into practice. In this paper, the optical engine, a key technique in the digital imaging, is introduced. Then the basic principle and technical difficulties of optical engine are discussed in detail. It is testified that the optical engine technique can make the satellite remote sensing image displayed in high-definition model.