This study focuses on the direct position determination (DPD) of non-circular (NC) sources with multiple nested arrays (NAs). Under impulsive noise modeled as a complex symmetric alpha stable ( \( {\text{S}}{\upalpha }{\text{S}} \) ) process, traditional DPD algorithms suffer from significant degradation in localization performance. To address this problem, a phase fractional lower-order moment (PFLOM) based DPD algorithm for NC sources using multiple NAs, combined with a reduced-dimension subspace data fusion (RD-SDF) technique, termed PNNR-SDF, is proposed in this paper. By employing the PFLOM-based covariance matrix instead of the second-order covariance matrix, the sharp amplitude of the impulsive noise can be effectively suppressed, thus improving the estimation accuracy. Moreover, the RD-SDF technique is exploited to reduce high computational complexity. Numerical results demonstrate the superiority of the PNNR-SDF method compared to conventional DPD algorithms under impulsive noise.
