An Improved Hybrid TDOA/AOA Location Algorithm in NLOS Environment
一种改进的NLOS环境下的TDOA/AOA混合定位算法

In cellular mobile communication systems, the hybrid Time Difference Of Arrival(TDOA) and the Angle Of Arrival(AOA) location algorithm can reach higher accuracy than traditional TDOA method does. But in NLOS environment, when the measurement error of AOA surpasses a certain value, the location error is still large. This paper proposes an effective location method on the condition that the excessive time delay in NLOS environment is exponential. This method estimates the mean and variances of the excessive time delay based on its statistical property firstly and then reconstructs the TDOA for migrating the influence of the NLOS error. Then use the AOA algorithm as the assistant method. The result of simulation proves its effectiveness in improving the location accuracy than traditional TDOA and TDOA/AOA method in NLOS propagation environment.