Angular super-resolution algorithm based on maximum entropy for scanning radar imaging

Scanning radar imaging has significant and extensive applications, such as surveillance, autonomous landing of aircraft, navigation, guidance. However, scanning radar imaging system suffers troublesomely antenna-induced poor angular resolution. In this letter, a scheme of angular superresolution based on maximum entropy (ME) framework is presented. Firstly, radar received signal in azimuth is modeled as convolution of the antenna pattern and targets´ scattering coefficient approximately. Then, principle of angular super-resolution algorithm is deduced. The algorithm can endure disturbance of noise more significantly than conventional techniques. Simulations validate that this algorithm can effectively enhance radar angular resolution. At last, real scanning radar imagery data has proved effectiveness of the proposed method by comparing with Wiener filter technique.