Sidelobe suppressing beamforming using linearly constrained adaptive arrays for low angle tracking

Low angle tracking has been widely studied to solve multipath effect which can be a serious problem in radar systems. Zoltowski suggested a 3-D beamspace maximum likelihood estimation scheme which can simply find the angle of arrival (AOA) of a target from a quadratic equation. However, this scheme has drawbacks such as fixed beam pattern and relatively high sidelobe. This paper proposes a new beamforming scheme using the linearly constrained adaptive arrays. The proposed scheme generates a beam pattern which can overcome previous scheme by providing low sidelobe using adaptive structure resulting robust estimation. Numerical results are provided to show the improved performances.