本文選題：室內(nèi)定位 + 累積誤差　； 參考：《計算機應(yīng)用研究》2017年09期

【摘要】：針對行人室內(nèi)慣性定位存在航向發(fā)散和累積誤差的問題,提出采用運動感知的方法實時識別行人的運動狀態(tài),利用行人狀態(tài)約束(直線運動)和特殊運動狀態(tài)(上下樓梯、乘坐電梯、90°或180°轉(zhuǎn)彎)的特殊點匹配方法來抑制航向的發(fā)散,消除累積誤差;提取加速度信號的時域特征,利用神經(jīng)網(wǎng)絡(luò)對行人運動狀態(tài)進行識別,不同的運動形式(走、跑、上下樓梯)采取不同的步長模型,從而提高位置推算精度。為驗證算法的有效性,在4樓和6樓之間進行多次行走實驗,實驗結(jié)果表明,通過運動感知可以明顯抑制航向的發(fā)散,消除累積誤差,三維空間內(nèi)的定位誤差約為總行程的1.6%。
[Abstract]:In order to solve the problem of heading divergence and accumulated error in indoor inertial positioning of pedestrians, a motion sensing method is proposed to identify the moving states of pedestrians in real time, using pedestrian state constraints (linear motion) and special motion states (up and down stairs). The special point matching method of 90 擄or 180 擄turn of elevator is used to restrain the divergence of course and eliminate the accumulated error, the time domain feature of acceleration signal is extracted, and the moving state of pedestrian is recognized by neural network, and the different motion forms (walking, running, running) are obtained. Different step-size models are used to improve the accuracy of position calculation. In order to verify the validity of the algorithm, several walking experiments were carried out between the fourth and sixth floors. The experimental results show that the divergence of course can be significantly suppressed by motion perception, and the accumulated error can be eliminated. The positioning error in three dimensional space is about 1.6 of the total stroke.
【作者單位】： 北京信息科技大學(xué)高動態(tài)導(dǎo)航技術(shù)北京市重點實驗室;
【基金】：國家自然科學(xué)基金資助項目(61471046) 北京市教委市屬高校創(chuàng)新能力提升計劃資助項目(TJSHG201510772017) 高動態(tài)導(dǎo)航技術(shù)北京市重點實驗室開放課題
【分類號】：TN96;TP183
，

本文編號：2041863