Blind source separation（ BSS） becomes more attractive targets in sensor signal processing field. A BSS method based on adaptive artificial bee colony algorithm is proposed

aiming at problems of slow convergence

speed low computational precision and narrow application field of existing BSS methods. The algorithm uses Givens rotation to reduce amount of calculation

adaptive global guidance item is introduced in search strategy to dynamically adjust the optimal solution guiding role

and adaptive Boltzmann probability is adopted in selection strategy to adjust selective pressures. Simulation results show that the adaptive algorithm can speed up convergence rate and improve separation precision to about three orders of magnitude.