CAJ | 학술논문

无线信号指纹定位技术已经广泛应用在室内定位中，针对无线信号不稳定造成信号指纹定位方法在连续单点定位时定位结果跳动的问题，提出利用卡尔曼滤波算法来估算用户的位置坐标。针对特定的室内环境，进行了滤波试验，试验结果表明，相比常用的均值滤波，卡尔曼滤波算法是鲁棒的，可有效改善无线信号指纹定位方法的精度，很好改善了无线信号指纹定位方法在连续单点定位时的跳动问题。
무선신호지문정위기술이경엄범응용재실내정위중，침대무선신호불은정조성신호지문정위방법재련속단점정위시정위결과도동적문제，제출이용잡이만려파산법래고산용호적위치좌표。침대특정적실내배경，진행료려파시험，시험결과표명，상비상용적균치려파，잡이만려파산법시로봉적，가유효개선무선신호지문정위방법적정도，흔호개선료무선신호지문정위방법재련속단점정위시적도동문제。
Wireless signal fingerprint location technique is widely used for indoor positioning. Proposing to utilize Kalman filter to estimate the position to solve the problem of the j umps of positioning result caused by the instability of signal in continuous single-point locating. An investigation test was conducted at the indoor environment,the result shows that Kalman filter is robust,it can enhance the positioning accuracy and reduce the j umps of positioning result effectively compared with mean filter.