Addressing the issues of TDOA estimation accuracy being limited by sampling frequency and the large localization errors of a single microphone array, this paper proposes two improved methods and conducts simulation verification. Firstly, to tackle the problem of significant TDOA estimation errors caused by low sampling frequency, a modified cross-correlation algorithm based on cubic spline interpolation is proposed. This method involves performing cubic spline interpolation after the first cross-correlation to increase the sampling frequency, followed by a second cross-correlation to obtain the TDOA. Simulations under 10x interpolation conditions demonstrate that this method reduces the TDOA error from 7.6% to 0.6%, effectively minimizing the estimation error.Secondly, to address the large localization errors associated with a single microphone array, a multi-microphone array data fusion method for sound source localization is proposed. This approach involves fusing the localization results of multiple microphone arrays to obtain the final sound source position. Using a quaternary cross array as an example, simulations were conducted at 10 points in space, comparing far-field localization accuracy between dual-microphone arrays, quad-microphone arrays, and single microphone arrays. The results show that the localization error for a single microphone array exceeds 1 meter when the sound source is distant, whereas the proposed dual-microphone array design achieves localization errors below 0.3 meters, and the quad-microphone array achieves errors below 0.2 meters, significantly enhancing the accuracy of sound source localization.