基于广义最优成像空间的双基地SAR成像算法

传统的基于最优成像空间的双基地合成孔径雷达(synthetic aperture radar, SAR)成像算法是一种性能卓越的SAR成像算法,其具有散射点在成像空间定位准确,算法复杂度低以及聚焦性能高等优点。然而,随着观测场景的扩大,该算法会出现散射点在成像空间定位不准确以及聚焦性能下降的缺点。为了克服这些缺点,在SAR成像领域首次提出了距离历史向量匹配比的概念,基于该概念,又进一步提出了一种新的基于广义最优成像空间的双基地SAR成像算法。所提出的算法不再受限于观测场景的大小,可以对大观测场景(宽测绘带)进行高质量的成像。实验结果表明,所提出的算法是有效的和可行的。

Bistatic SAR imaging algorithm based on generalized optimal imaging space

The bistatic synthetic aperture radar (SAR) imaging algorithm based on traditional optimal imaging space is an excellent SAR imaging algorithm, which has many advantages, such as accurately positioning the scatter point in imaging space, low algorithm complexity, and high focusing performance. However, as the expansion of the observed scene, some defects will appear for the traditional algorithm, such as not being able to accurately position the scatter point in imaging space, and the focusing performance deteriorating. In order to overcome the defects, a concept of the match ratio, which is based on range history vector, is first proposed in the SAR imaging field. According to this concept, a novel bistatic SAR imaging algorithm based on generalized optimal imaging space is further proposed. The proposed algorithm is no longer limited to the range of the observed scene, which can achieve the high resolution SAR imaging for large range sense (wide swath). The experiment results show that the proposed algorithm is effective and feasible.