酉ESPRIT超分辨ISAR成像方法

Super-Resolution ISAR Imaging Using Unitary ESPRIT

针对ESPRIT超分辨成像方法没有利用复数共轭数据且难以确定散射点数目的不足,提出了采用酉ES-PRIT实现ISAR超分辨成像的新方法.该方法利用改进的盖式圆盘方法确定散射中心的数目,克服了ESPRIT方法中无法确定散射中心数目的缺点.通过合成复观测数据及其共轭,提高了ESPRIT超分辨成像的分辨率.构造了中心复共轭对称矩阵,有效降低了计算量.利用仿真数据和实测数据对该方法进行了验证,结果表明该方法不但具有更优的抗噪性能和分辨率,也具有更高的运算效率.

The ESPRIT super-resolution ISAR imaging algorithm doesn＇ t use the conjugate of observation data and it can＇ t estimate the number of scattering center. For overcoming those shortcomings, a new ISAR imaging algorithm is proposed based on the Umitary ESPRIT technique. Unlike previous ESPRIT imaging algorithm, the new method uses Gerschgorin disk theorem to estimate the number of scattering centers and it improves performance of signal estimation, since the observation data are incorporated with their conjugate. By constructing Centro-Hermitian matrices, the algorithm also provide＇s a reduced computational burden. The validity and feasibility of the new algorithm are verified by using simulated and measured experimental data.