Nonlinear signal processing

This dataset contains the impedance and frequency response test results of commercial LED lamp beads of different brands in multiple configurations. The dataset is divided into two parts: one is a single test of LED lamp beads of different brands, covering their impedance and frequency response characteristics; the other is a test of LED lamp beads with different array configurations (such as 1x3, 4x4, 2x1, etc.) to show their performance in the array structure.

This is the supporting data sets for the paper entitled “Low-Complexity Gradient-Based Algorithm for Phase-Only Pattern Synthesis”, which introduce a gradient-based algorithm for phased array pattern synthesis with element phase only. The algorithm can be applied to linear and planar arrays, obtaining the required element phases for arbitrary patterns with desired tolerance, and minimizing nulls or sidelobe levels (SLL). The file contains element phases for the results demonstrated in the paper and a script to read the element phases to regenerate the array patterns.

This dataset includes results of simulation and experiment for tuning of bumpless feedforward controller. The tuninig of FF and the simultaneous tuning of FF and DOB are selected as comparsion group. Their results are also included in this dataset. For each method, two parameters are chosen to be tuned in their inverse uniform model or inverse sub-model. The results of each iteration for every method and every trajectory are also included. In simuation file, there are five group of result. For each group, results of three methods are included.

This letter presents an effective digital passive intermodulation (PIM) cancellation technique for multi-band multiple-input multiple-output frequency-division duplexing radios for 5G and beyond. We begin by introducing a universal PIM signal model for multi-band radios with an arbitrary number of transmit--receive antennas, which enables the calculation of basis functions at all intermodulation frequencies. After establishing this signal model, a comparative analysis of state-of-the-art behavioral models is conducted in the context of PIM modeling.