CAJ | 학술논문

　　针对传统时差定位闭式解法在量测噪声较大情况下定位性能不佳的缺点，提出了一种新的时差定位算法。该算法首先在无约束条件下利用加权最小二乘得到目标的初始位置估计值，然后利用最大似然方程对初始位置估计值进行校正，校正后的位置估计值将更加接近最大似然估计。通过对算法的仿真分析，结果表明在量测噪声较大的情况下，算法的定位均方误差要小于经典的Chan算法。
　　침대전통시차정위폐식해법재량측조성교대정황하정위성능불가적결점，제출료일충신적시차정위산법。해산법수선재무약속조건하이용가권최소이승득도목표적초시위치고계치，연후이용최대사연방정대초시위치고계치진행교정，교정후적위치고계치장경가접근최대사연고계。통과대산법적방진분석，결과표명재량측조성교대적정황하，산법적정위균방오차요소우경전적Chan산법。
This paper proposes a new effective TDOA location algorithm to overcome the disadvantage of the traditional closed-form localization algorithms. The algorithm proposed in this paper firstly obtains the location of the source using uncon-strained weighted linear least-squares, and then calibrates the estimator according to the maximum likelihood equation to ac-quire the final solution for the position coordinates. Computer simulation results show that the mean square position error of new algorithm is smaller than the classic Chan algorithm as the noise variance is high.