Virtual Array-based Super-resolution for Mechanical Scanning Radar
Linfeng Qiu, Yongchao Zhang, Yin Zhang, Yulin Huang, Jianyu Yang · 2021
Source location with real aperture radar (RAR) has raised many concerns in the applications of monitoring for the interested sources. However, the coarse angular resolution of RAR is insufficient for resolving multiple sources within the beam width. To solve this problem, this paper proposes a virtual array-based superresolution method for mechanical scanning antenna. First, the virtual array model is constructed using the azimuth echo of mechanical scanning radar, and derived the mapping relationship between the real aperture scanning radar and the virtual array. Then, the sources distribution is recovered via the virtual array model combined with multiple signal classification (MUSIC) algorithm. Last, simulation validates that the method can improve the angular resolution of mechanical scanning radar.