An Improved Angle Estimation Algorithm for Millimeter-Wave Radar
Jiacheng Wu, Han Feng Cui, Naim Dahnoun · 2022 11th Mediterranean Conference on Embedded Computing (MECO) · 2022
Millimeter-wave radars are one of the most popular research di-rections in many fields such as human recognition, object tracking and posture detection. Most of the related algorithms utilize range Fast Fourier Transform (FFT), Doppler FFT and angle FFT to calculate the distance, velocity and direction of arrival signal. In this paper, instead of angle FFT, we utilize Minimum Variance Distortionless Response (MVDR) as well as Multiple Signal Classification (MUSIC) to gain the direction of arrival, which are widely used in an array of sonars. Experiments show that, compared with angle FFT, the angles provided by MVDR and MUSIC are more accurate with around a half of the angle resolution improvement.