NLOS环境下TDOA/AOA混合定位算法研究

在CDMA的网络环境下，TDOA/AOA混合定位算法能够比Chan算法有较高的定位精度。然而随着AOA测量误差精度的下降，定位精度逐渐下降，甚至低于Chan算法的定位精度。本文在传统的TDOA/AOA混合定位算法加入校正因子，通过逐步迭代的方法，逐渐消除NLOS对TDOA测量值的影响，从而获得比传统TDOA/AOA混合定位算法更高的定位精度。仿真表明：在各种环境下，特别是非视距环境下该方法能够显著提高定位的精度，并且运算量增加较少。

Research of TDOA/AOA hybrid algorithm under the NLOS environment

The hybrid algorithm of TDOA/AOA has better location accuracy than Chan algorithm under the CDMA network,but with the fall of AOA's accuracy,the location accuracy will drop gradually,and may below the Chan's.The article adds the amendatory factor in the traditional hybrid algorithm,through iteration gradually to mitigate the affect of Non Line Of Sight(NLOS) to the Time Difference Of Arrival(TDOA) measurement value,so we can get higher location accuracy.The simulation shows that the method here put forward can improve the location accuracy apparently,and the additional operation is rather small.