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This work introduces two methods which extend the non-convex minimization\udproblem arising in phaseless (NF) far-field (FF)\udtransformations. With the new extensions, knowledge about phase differences\udbetween measurement points can be incorporated into the minimization problem.\udThe additional information helps to avoid stationary points of the\udminimization cost functional which would otherwise compromise the result of\udthe near-field far-field transformation. The methods are incorporated into\udthe Fast Irregular Antenna Field Transformation Algorithm (FIAFTA), analyzed and\udcompared. Their effectiveness is shown by transforming synthetic near-field\uddata sets with partial knowledge of phase differences to the far-field

advances in radio science

Comparison of non-convex cost functionals for the consideration of phase differences in phaseless near-field far-field transformations of measured antenna fields