CAJ | 학술논문

为提高接收信号强度指示( RSSI)指纹进行室内定位的准确性,提出一种利用RSSI指纹抖动量的虚拟标签定位改进算法。给出RSSI指纹抖动量计算方法,将其应用于待定位标签与参考标签的距离以及虚拟标签RSSI指纹的计算。在实际测试中,将RSSI指纹抖动量用于虚拟标签定位算法射频指纹( RFFP)的改进。测试结果表明,与 RFFP 算法和 LANDMARC 算法相比,改进算法的平均定位精度分别提高约0.35 m ~0.88 m 和0.38 m~0.94 m,算法耗时仅分别增加约1%和12%。
위제고접수신호강도지시( RSSI)지문진행실내정위적준학성,제출일충이용RSSI지문두동량적허의표첨정위개진산법。급출RSSI지문두동량계산방법,장기응용우대정위표첨여삼고표첨적거리이급허의표첨RSSI지문적계산。재실제측시중,장RSSI지문두동량용우허의표첨정위산법사빈지문( RFFP)적개진。측시결과표명,여 RFFP 산법화 LANDMARC 산법상비,개진산법적평균정위정도분별제고약0.35 m ~0.88 m 화0.38 m~0.94 m,산법모시부분별증가약1%화12%。
In order to improve the accuracy of indoor localization using Received Signal Strength Indicator ( RSSI ) fingerprints, a new method of introducing the jittering of RSSI fingerprints is proposed, which defines the calculating method of the RSSI fingerprints jittering,and applies it to measure the distance between the reference tags and tags that are being tracked,and computes the RSSI fingerprints of the virtual tags. Test results show that the average localization accuracy is about 0. 35 m ~0. 88 m higher by the improved algorithm than RFFP,and 0. 38 m ~0. 94 m higher than LANDMARC while the time-consuming increases by only 1% and 12% respectively.