Application of an Improved MUSIC Algorithm in Ship-Borne High Frequency Surface Wave Radar

Sea clutter seriously affects the radar detection performance of the sea targets. For SBHFSWR (ship-borne high frequency surface wave radar), the widening first-order sea clutter because of the carrier’s movement obscures the ship targets and causes the difficulty in target detection. One potential method to distinguish the interested sea targets from the sea clutter background is to use spatial super resolution methods since the interested targets and interfering sea clutter usually have different arrival azimuth angles. In this paper, an improved MUSIC algorithm based on the oblique projection is presented. The algorithm not only uses the oblique projection operator to suppress the first-order sea clutter, but also makes full use of all the characteristic information of the noise subspace and the signal subspace to improve the estimation precision. The simulation results verify the effectiveness of the proposed algorithm.