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随着科学技术的飞速发展,战场中传感器的种类和数量不断增加,战场的环境也变得越来越恶劣,迫切地需要多传感器的数据融合来为指挥员提供高可信度的数据,供指挥员参考。通过对融合源数据进行分析,提出基于表决法和证据理论的多传感器融合系统方案。对框架的各部分功能模块进行分析,针对性的选择二阶预测、证据理论等算法。在融合模块中,对于不同性质的数据也选用不同的算法。通过仿真验证了系统的有效性。
With the rapid development of science and technology, the variety and number of sensors in the battlefield are increasing, and the battlefield environment is also getting worse and worse. It urgently needs multi-sensor data fusion to provide commanders with high-confidence data Commander reference. By analyzing the fusion source data, a multi-sensor fusion system scheme based on voting and evidence theory is proposed. Analysis of the functional modules of each part of the framework, targeted selection of second-order prediction, evidence theory and other algorithms. In the fusion module, for different types of data also use different algorithms. The effectiveness of the system is verified through simulation.