CAJ | 학술논문

传统基于接收信号强度的无线定位算法，无论是基于测距还是非测距，都会较大程度地受到定位环境变化的影响，环境的变化会导致定位精度的损失。要想减少环境变化对定位精度的损失，必须使用大量的实时参考测量点，或者引入更多的测量站。算法引申自基于参考点、非测距的邻近算法。巧妙地利用虚拟参考点的选取，来适应环境变化，保证长时间下的定位精度。既不增加系统开销，又保证了定位系统对环境的自适应性。
전통기우접수신호강도적무선정위산법，무론시기우측거환시비측거，도회교대정도지수도정위배경변화적영향，배경적변화회도치정위정도적손실。요상감소배경변화대정위정도적손실，필수사용대량적실시삼고측량점，혹자인입경다적측량참。산법인신자기우삼고점、비측거적린근산법。교묘지이용허의삼고점적선취，래괄응배경변화，보증장시간하적정위정도。기불증가계통개소，우보증료정위계통대배경적자괄응성。
Traditional wireless positioning algorithms based on the received signal strength,no matter to be the ranging-based or ranging-free,will be affected by the environment changes in relatively great extent,and the environment changes may lead to the loss in positioningaccuracy.There is no other way but to use mass real-time calibration points or to introduce more measurement bases if one wishes to reducethe loss in positioning accuracy caused by the environment changes.The algorithm in this paper is extended from the calibration point-basedand ranging-free K-nearest algorithm.It adapts to the environment changes by skilfully utilising the choice of virtual calibration points,andguarantees the positioning accuracy for a long time.It ensures the adaptivity of the positioning system on environment without additionalsystem overhead.