一种基于Hankel方法的多收多发RCS近远场变换算法

A Multiple-Transmitting and Multi-Receiving RCS Near-Field to Far-Field Transformation Algorithm Based on Hankel Method

针对传统的Hankel方法在大角度范围观测时,近远场变换结果与理论远场结果之间存在角度误差的问题,提出了一种基于Hankel方法多收多发RCS近远场算法。该方法通过多发多收的形式增加系统有效相位中心的数目,并获得更多的的场景信息。通过不同相位中心获得的信息,在小角度内分别用Hankel方法进行RCS近远场变换,并通过各个小角度内变换结果进行数据拼接,实现全角域内精确的RCS近远场变换。通过对两组分别由5个和9个理想散射点组成的散射体,以本算法进行近远场变换仿真试验。仿真结果验证了该算法的正确性和有效性。

When the traditional Hankel method is used to near-field to far-field transformation observed over a large range of angles, there is an angular error to the theoretical far-field results. In this paper, a multi-receiving and multi-transmitting RCS near-field to far-field algorithm based on the Hankel method is proposed. This method increases the number of effective phase centers in the system using a form of multi-transmitting and multi-receiving and obtains more information about scene. Through the information obtained from different phase centers, the RCS near-field to far-field transformations are performed by using Hankel method at small angles. The data are stitched together by using the results of each small-angle transformation to achieve accurate RCS near-field to far-field transformation in the full angles. By using two groups of scatterer respectively consisting of five and nine ideal scattering points, the near-field to far-field transformation simulation experiments based on this algorithm are performed. Results verify the correctness and effectiveness of the algorithm.