Doppler Velocity Measurement

Doppler velocity measurement, the process of determining the velocity of objects using the Doppler effect, is experiencing renewed interest across diverse fields. Current research focuses on improving the accuracy and robustness of Doppler measurements in challenging environments, often integrating them with other sensor data (e.g., IMUs, other radars, cameras) using techniques like Kalman filters, Nonlinear Least Squares, and deep neural networks to address issues like sensor misalignment and noisy data. These advancements are significantly impacting applications ranging from autonomous vehicle navigation and underwater robotics to medical imaging and extrasolar planet detection, enabling more reliable and precise estimations of motion and velocity in various contexts.