摘要
针对传统主动定位方式需要目标时刻携带定位设备的问题,提出了一种基于LoRa信号的室内无源被动定位方案,使用差值限幅滤波算法和高斯朴素贝叶斯算法对室内定位方案进行验证。实验结果表明,在3m范围内方案的平均预测准确率为95.6%,在保证定位精度的前提下,能以较高的准确率对目标位置进行预测。
Aiming at the problem that the traditional active positioning method requires the target to carry the positioning device at all times,an indoor passive positioning scheme based on LoRa signal is proposed.And use limiting filter algorithm and Gaussian Naive Bayes algorithm to verify the indoor positioning scheme.The experimental results show that the average prediction accuracy of the schemes in the 3m range of the multi-class situation is 95.6%.Under the premise of ensuring positioning accuracy,the target position can be predicted with a high accuracy rate.
出处
《智慧工厂》
2024年第2期79-82,共4页
Smart Factory
基金
南京航空航天大学金城学院2023年度校级科研基金项目“基于LoRa的移动机器人室内定位研究”(基金编号:X202303)。
