Based on the received signal strength (RSS) range measurement technology, and by utilizing the sampling and filtering approach of MCL-kind particle filtering localization algorithms in mobile sensor networks (MSN), a kind of signal strength resolution for dynamic localization based on sampling and filtering (SSR-SF) which integrates with the principle of strength resolution and composition in physics is proposed. In the produced rectangular coordinates, SSR-SF resolves the resultants the signal vectors between mobile node, beacon nodes, and samples and beacon nodes respectively. It samples from an error annulus, compares the signal resultant vectors of the samples with that of the mobile node, and then picks out the final samples whose resultant vectors' mood are closest to that of the mobile node. SSR-SF takes the average value of those final samples' coordinates as the mobile node's location. Simulation results show that, under the same experiment conditions, the localization accuracy of SSR-SF is clearly higher than its counterparts and it needs no additional hardware.