本站所有资源均为高质量资源,各种姿势下载。
In this document, we will discuss the implementation of multi-sensor data fusion algorithm using MATLAB simulation program. Multi-sensor data fusion is a technique that combines data from multiple sensors to provide more accurate and reliable information. This technique finds its applications in various fields such as robotics, surveillance, and automotive. The implementation of multi-sensor data fusion can be done through various algorithms such as Kalman filter, particle filter, and Bayesian network. The MATLAB simulation program provides a convenient platform for implementing these algorithms. In this document, we will explain the steps involved in implementing multi-sensor data fusion algorithm using MATLAB simulation program. We will also discuss the advantages and limitations of this technique and provide suggestions for future research.