A trainâborne laser Doppler vibrometer (LDV) directly measures the dynamic response of railway track components from a moving train, which has the potential to complement existing trainâborne technologies for railway track monitoring. This paper proposes a holistic methodology to characterize trainâborne LDV measurements by combining computerâaided approaches and realâlife measurements. The focus is on the speedâdependent characteristics because the train speed affects the intensity of railway sleeper vibrations and the intensity of speckle noise, which further affects the quality and usability of the measured signals. First, numerical models are established and validated to simulate sleeper vibrations and speckle noise separately. Then, a vibrationânoise separation method is proposed to effectively extract speckle noise and structural vibrations from LDV signals measured at different speeds. The parameters of the separation method are tuned using simulation signals. The method is then validated using laboratory measurements in a vehicleâtrack test rig and applied to field measurements on a railway track in Rotterdam, the Netherlands. Further, the speedâdependent characteristics of trainâborne LDV measurement are determined by analyzing the competition between sleeper vibrations and speckle noise at different speeds. Simulation and measurement results show that an optimal speed range yields the highest signalâtoânoise ratio, which varies for different track structures, measurement configurations, and operational conditions. The findings demonstrate the potential of trainâborne LDV for largeâscale rail infrastructure monitoring.