In recent years, synthetic aperture radar (SAR) automatic target recognition (ATR) has been widely used in both military and civilian fields. Due to the sensitivity of SAR images observation azimuth, multi-aspect image sequence contains more information for than a single-aspect one. Nowadays, methods mainly use recurrent neural networks (RNN), which rely on order between thus suffer from loss. ...

Automatic target recognition (ATR) for military applications is one of the core processes toward enhancing intelligence and autonomously operating platforms. Spurred by this given that Synthetic Aperture Radar (SAR) presents several advantages over its counterpart data domains, article surveys assesses current SAR ATR algorithms employ most popular dataset domain, namely moving stationary acqui...

This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...