Online Algorithm for Velocity Estimation in Ultrasonic Doppler Measurement

摘要

Ultrasonic Doppler technique is widely used for velocity estimation in medical electronic systems. This technique is signal-processing intensive with an increasing requirement on accuracy, real time and stability. The clutter caused by human tissues contains little information about blood flow velocity. Since conventional algorithms are based on an idealized signal model where the residual clutter is not fully considered, high-performance filters are required for clutter rejection in ultrasonic Doppler measurement. This paper focuses on how to extract the velocity information from ultrasonic echo signals without extra filters. We presented an online algorithm that identified the clutter as unknown parameters instead of filtering. The algorithm does not rely on the performance of extra clutter filters. Simulation results show that this algorithm is simpler and more stable than conventional correlation algorithms.