Marine radar simulator is a useful approach endorsed by International Maritime Organization (IMO) to train the seafarers on how to operate marine radar equipment and use marine radar equipment for positioning and collision avoidance in laboratory. To fulfill all of the marine radar simulator training requirements, a high performance simulator is necessary. However, imperfections with currently available marine radar simulators require simulator developers to make improvements. In this study, improved fractal algorithms (random Koch curve, fractional Brownian motion, and Weierstrass-Mandelbrot function) are applied to generate natural-looking radar echoes on a marine radar simulator. From the results of the simulations, we can observe that the structures of the coastline echoes generated by improved fractal algorithms, especially by fractional Brownian motion algorithm, outperform the echoes generated by conventional method in representing a natural coastline feature. Based on evaluations from a panel of experienced mariners, we conclude that the coastline echoes simulated by fractal algorithms better represent a natural coastline feature than those generated by conventional methods.

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海岸线回波生成的分形算法在海洋雷达模拟器中的应用

航海雷达模拟器是国际海事组织（IMO）认可的一种有用方法，可以培训海员如何操作航海雷达设备以及如何在实验室中使用航海雷达设备进行定位和避免碰撞。为了满足所有海上雷达模拟器培训要求，高性能的模拟器是必要的。但是，当前可用的海上雷达模拟器的缺陷要求模拟器开发商进行改进。在这项研究中，改进的分形算法（随机的科赫曲线，分数布朗运动和Weierstrass-Mandelbrot函数）被应用于在海上雷达模拟器上生成看起来自然的雷达回波。从仿真结果中，我们可以观察到由改进的分形算法生成的海岸线回波的结构，特别是通过分数布朗运动算法，在表现自然海岸线特征方面优于传统方法产生的回波。基于一组经验丰富的水手的评估，我们得出的结论是，分形算法模拟的海岸线回波比传统方法生成的海岸线回波更好地代表了自然海岸线特征。