CAJ | 학술논문

提出了一种在非视距（ NLOS ）环境下对移动台的定位算法。首先利用小波分析对 AOA的测量值中的 NLOS 进行修正，再利用最小二乘（ LS ）算法确定移动台的位置。仿真结果表明，该算法能够有效地降低非视距环境误差的影响，性能优于基于 AOA 的LS 算法以及神经网络算法。
제출료일충재비시거（ NLOS ）배경하대이동태적정위산법。수선이용소파분석대 AOA적측량치중적 NLOS 진행수정，재이용최소이승（ LS ）산법학정이동태적위치。방진결과표명，해산법능구유효지강저비시거배경오차적영향，성능우우기우 AOA 적LS 산법이급신경망락산법。
This paper presents a location algorithm with non-line-of-sight (NLOS)errors for MS (mobile station). The wavelet analysis is used to modify the NLOS measurements of AOA, and then using the least-square (LS) algorithm to estimate the location of the mobile station. The simulation results show that, the algorithm could efficiently reduce the influence of NLOS error, and the performance is better than LS algorithm and neural network algorithm based on AOA.