一个基于TDOA的无线定位新算法

Constrained least-squares and wireless location based on TDOA measurements

研究了高斯噪声环境下基于TDOA(波达时间差)目标定位问题,得到了约束WLS(加权最小二乘)解。在宽松的假设条件下,该算法被证明是近似极大似然(MLE)解。仿真实验表明:该算法较已有的算法在定位精度方面有显著提高。

Source localization is studied based on assumed Gauss distributed noisy measurements of TDOA （time-difference of arrival）. The solution to the constrained weighted least-squares （WLS） is derived and applied to the source localization problem based on TDOAs. Under some mild conditions, the proposed algorithm is shown to be an approximate maximum likelihood estimation （MLE） algorithm. The simulation results show that the proposed algorithm outperforms the existing solution methods.