Vector network analyzers (VNA) and scattering parameter measurements are commonly used to characterize devices and components in the small-signal regime. While VNA measurements allow a full characterization of linear elements, they fail for non-linear elements, like for power amplifiers or other active circuits driven at high power levels. To get a better insight in a device's nonlinear properties, VNA measurements are typically extended by spectrum analyzer, time domain, or load-pull (LP) measurements. But even the combination of all these measurements has limitations. Here, the so-called large signal network analyzer (LSNA) provides a solution: It allows capturing a device's nonlinear effects based on a traceable nonlinear calibration standard. Recently, the documentation of the Sampling Downconverter Agilent N4464A, which is an integral part of the commercial LSNA system available at the Institute of Electrodynamics, Microwave and Circuit Engineering, became public domain. Because the existing system and software framework experiences some limitations, e.g. for broadband signal characterization, a modified and extended LSNA platform has been developed. First, the realized LSNA system updated the previous non-flexible software implementation by a fully custom implementation of the LSNA software and calibration framework using Matlab. Second, different broadband calibration and measurement techniques for arbitrary periodic signals utilizing arbitrary measurement frequency grids have been introduced and verified in this thesis. The realized Matlab LSNA software framework assists the user in the stages of instrument initialization, calibration, and the measurement itself. The setup verification measurements demonstrate proper operation of the LSNA system and high accuracy of the calibration for the targeted applications. The flexibility of the LSNA was increased enormously compared to the commercial system. For example, applications like broadband load-pull waveform engineering under pulsed periodic excitation are now possible.