针对非高斯脉冲噪声环境下分布式阵列波达方向（DOA）估计算法性能退化的问题，以Alpha稳定分布为脉冲噪声模型，首先，利用分数低阶变换和压缩变换两种非线性变换方法对阵列接收信号进行预处理以有效抑制脉冲噪声；然后，基于预处理后数据的协方差矩阵，提出两种³棒的双尺度酉ESPRIT(U-DS-ESPRIT)算法；最后，对分布式阵列在Alpha稳定分布脉冲噪声环境下DOA估计的克拉美罗界（CRB）进行分析。仿真结果表明，在脉冲噪声环境下，两种³棒双尺度酉ESPRIT算法的估计性能明显好于传统基于二阶协方差矩阵的双尺度酉ESPRIT算法，且基于压缩变换的双尺度酉ESPRIT算法的估计性能更接近于CRB。

ire ction of arriva l ( DOA) est imation algori thm in non-G aussi an im pul se noise envir onment, Alpha s tabl e distri-but ion was ta ken as imp ulse noise mode l. Firs tly, two no nlin-ear transfor m methods , fra ctiona l l ow order t rans form and compr ession tra nsform, we re used t o prepro cess th e array re-ceived signal to effectiv ely suppr ess impulse noise. Then, two robust dual-size unitary ESPRIT ( U-DS-ESPRIT) algorithms were p ropose d based  on  the cova rianc e matr ix of the  p repro-cessed dat a. Finally, the Crame r R ao boun d (CR B) of DOA estimati on for distributed array s in Alpha stable dis tributed impu lse n ois e enviro nment was analyzed . Si mulation r esults show tha t i n im puls e nois e environment, the estim ation per-fo rman ce of the two robust U-DS-E SPRI T al gor ithm s proposed in thi s paper is signifi cant ly better th an that of t he U-DS -ES-PR IT algorith m based on t rad ition al covariance m atrix, and the e stim ation perfor mance of the U -DS-E SPRIT al gorithm base d on compression tra nsformation is much clo ser to CRB.