Efficient Strip-Mode Microwave Correlated Imaging Method with Data Fusion

Abstract

In order to reduce imaging time of complex targets in a large scene, an efficient strip-mode microwave correlated imaging method with data fusion is proposed. Due to its rangegate feature, while random radiation radar array transmits narrow-pulse random signals synchronously, the whole imaging area can be divided into multiple imaging strips in the range direction. By analyzing the temporal-spatial stochastic radiation fields in each imaging strip and its scattered echoes, a new correlated imaging model in strip mode is established, which reduces the matrix scale of its imaging equation greatly. Meanwhile the sampling process within its range-gates of scattered echoes is discussed in detail, and by the multi-strip image mosaicking and its imaging data fusion, the whole correlated imaging in a large scene can be achieved. Numerical simulations validate its effectiveness of the proposed method and demonstrate its potential advantages to shorten the imaging time dramatically and improve the imaging performance.