In this paper, a track oriented, multi-platform and multi-hypothesis data association algorithm are studied, including track tree construction, track score calculation, sequence probability ratio test, hypothesis generation and branch track pruning, etc. On this basis, some improvements and optimizations for the problems of large number of spots and too many false targets in the real environment are made, and the simulation is carried out to verify the algorithm.