This paper validates a passive positioning method for a single station that integrates the phase change rate and the Doppler change rate. An observation model for a moving platform that tracks a moving target was established, and the core formula for the integrated positioning method was derived. Through Monte Carlo simulations, the effects of phase measurement errors, baseline length, and Doppler rate errors on positioning accuracy were quantitatively analyzed. The results validate the feasibility of the method, clarify its advantages and limitations, and provide a theoretical basis for the parameter design of airborne detection systems. The research demonstrates that this integrated approach avoids error amplification inherent in traditional azimuth differentiation methods. Simulation results reveal that distance estimation is extremely sensitive to phase change rate measurement errors, with quadratic error propagation characteristics. In contrast, the method shows remarkable robustness to constant phase errors and is theoretically independent of interferometer baseline length.