Aiming at the low reliability for single moment discrimination of multi-range-false-target,a method based on dimensions of space and time characteristics is proposed to discriminate the multi-range-false-targets.Firstly,measurements from radar network are transformed to the earth-centered earth-fixed coordinate system by preprocessing in order to unify the coordinate system.Then,test statistics are built up based on space distribution characteristics of the true-false targets for preliminary discrimination of the true-false targets by single moment association test.Finally,the tests of multiple moments are accumulated for improving the reliability of discrimination.The simulation results verify that:Compared with the single moment test,the accumulation of multi-moment tests is able to improve the reliability of multi-range-false-target discrimination.