To reduce the large computational amount problem of the existing maximum ratio combination( MRC) lo-calization of time difference of arrival ( TDOA ) and frequency difference of arrival ( FDOA ) , a low-complexity ap-proach of weighted cost function of TDOA and FDOA based on maximum likelihood grid search is proposed. Simula-tion results show that the proposed method saves nearly half of the complexity and yet achieves the same perform-ance as the MRC method.%由于现有的基于最大比合并MRC( Maximum Ratio Combination)的联合搜索定位算法实现复杂度高,为降低其计算复杂度,提出基于网格搜索的加权最大似然代价函数定位算法WMLGS( Weighted ML Grid Search Localization)。仿真结果表明：MRC和WMLGS算法的定位性能近似相等,在无地球表面约束条件下均优于单独时差或频差定位性能,并且逼近克拉美罗联合界,同MRC相比,WMLGS节省了一半左右的计算量,因此更具有实用价值。
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