We proposed two methods to reduce the bias of the well-known algebraic closed-form solution for source localization proposed by Ho using both TDOA(Time Difference of Arrival) and GROA(Gain Ratio of Arrival).The paper starts by deriving the bias of the source location estimate from Ho's solution.Two methods

called BiasSub and BiasRed

are developed to reduce the bias.The BiasSub method directly subtracts the expected bias from the solution of Ho.The BiasRed method augments the equation error formulation and imposes a constraint to improve the source location estimate.Analysis shows that both methods reduce the bias considerably for distant source when the noise is Gaussian and small.The BiasRed method is able to lower the bias to the same level as the maximum likelihood estimator.Simulations corroborate the performance of the proposed methods.