本文提出一种基于OFDM信号的联合TOA/AOA的二维定位方法。根据信道的频率响应(CFR),算法采用超分辨率估计算法,估计首达路径(First Arrival Path,FAP)的传输时延,即TOA估计。利用天线阵列,在频域利用同样的超分辨率估计算法,估计信号各径的AOA。联合首达路径的TOA和AOA信息,可在二维平面上确定目标位置。对于AOA的估计,采用波束成形,结合各径信道脉冲响应(CIR)幅值,甄别出首径的AOA。在多径环境下仿真,结果表明算法有效且定位精度满足实际需要,特别适合只有一个基站或接入点的室内定位。
A jointed TOA/AOA super-resolution algorithm for OFDM positioning is proposed. Basing on obtained channel frequency response (CFR), the super-resolution algorithm is executed to estimate the transmission delay of the first arrival path (FAP), namely the signal's TOA. Using the same super-resolution algorithm in frequency domain,the angle of signal arrivals from a mobile device to a base station and/ or an access point is estimated in virtue of antenna array. Then,the estimated TOA and DOA messages are jointed to compute the position of mobile station in two-dimension plane. In AOA estimation process, the beam-forming and CIR amplitudes of paths is integrated to choose the AOA of the FAP. In multipaths en- vironment, the simulation results show that the positioning precision of the proposed algorithm is high enough for actual application, especially in the environment with only one access point and base station.