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机构地区:[1]国防科技大学电子科学与工程学院ATR国防科技重点实验室,长沙410073
出 处:《现代雷达》2005年第7期4-7,共4页Modern Radar
摘 要:随着科学的发展,多传感器融合技术在军用和民用的各个领域中应用越来越广泛,而系统误差的估计和校正是影响融合系统性能的关键因素之一。该文针对系统误差建模和估计中存在的如系统误差种类较多、现有误差模型通用性较差等问题,提出了一种较为通用的统一的系统误差模型,并对比分析了现有系统误差估计方法的性能与特点,通过仿真证明了所建模型的通用性和有效性。As the development of science, the technology of multi-sensor fusion has been used more and more widely both in civil and in military. And the estimation and adjust of system bias is one of the key factors affect the performance of fusion system. Aiming to the problems that exist in system bias modeling and estimation, such as the existence of various system bias and the weak generality of the bias model, we present a uniform model of system bias and make an comparison between different system bias estimation algorithms in this system bias and make an comparison between different system bias estimation algorithms in this paper. The simulation results show the availability and generality of the model which we present in this paper.
分 类 号:TN953[电子电信—信号与信息处理]
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