High-Resolution Method for Primary Signal Processing in HFSWR

In this paper we present a novel high-resolution algorithm for primary signal processing in High Frequency Surface Wave Radar (HFSWR). The high-resolution properties of the algorithm contribute to better ship detectability, as well as the ability to detect some ships, which are not visible at all using the currently used primary signal processing algorithms. The proposed algorithm is based on a high-resolution estimate of the range-Doppler map. We also proposed a numerically efficient Image Processing method for detection on the range-Doppler map. Azimuth estimation is performed by a high-resolution MUSIC-type algorithm that is executed for all targets detected on the range-Doppler map. The experimental results showed that the percentage of successful detections was high.