Recent developments in optimization theory have extended some traditional algorithms for least-squares optimization of real-valued functions (Gauss-Newton, Levenberg-Marquardt, etc.) into the domain of complex functions of a complex variable. This employs a formalism called the Wirtinger derivative, and derives a full-complex Jacobian counterpart to the conventional real Jacobian. We apply these developments to the problem of radio interferometric gain calibration, and show how the general complex Jacobian formalism, when combined with conventional optimization approaches, yields a whole new family of calibration algorithms, including those for the polarized and direction-dependent gain regime. We further extend the Wirtinger calculus to an operator-based matrix calculus for describing the polarized calibration regime. Using approximate matrix inversion results in computationally efficient implementations; we show that some recently proposed calibration algorithms such as StefCal and peeling can be understood as special cases of this, and place them in the context of the general formalism. Finally, we present an implementation and some applied results of CohJones, another specialized direction-dependent calibration algorithm derived from the formalism.
翻译:优化理论的最近发展将一些传统算法扩大到了复杂变量复杂功能的复杂功能领域(Gauss-Newton,Levenberg-Marquardt,Levenberg-Marquardt,等等),这使用了被称为Wirtinger衍生物的正规主义,并产生一个完全复合的Jacobian对等传统真实的Jacobian。我们将这些发展发展应用于无线电干涉测量收益校准问题,并表明一般复杂的Jacobian正规主义与常规优化方法相结合,如何产生一整套全新校准算法,包括极化和依赖方向的增益制度。我们进一步将Wirtinger计算法扩大到一个基于操作员的矩阵积分体,用于描述极化校准制度。我们用粗略的矩阵转换结果来计算高效的实施;我们表明,最近提出的一些校准算算法,如StefCal和剥皮等校准算法可以被理解为这方面的特殊情况,并将之置于一般正规主义背景下。最后,我们介绍了CohJones正规算法的实施和一些应用结果。