Title :
A Peak-Search Algorithm for Load–Pull Optimization of Power-Added Efficiency and Adjacent-Channel Power Ratio
Author :
Martin, J. ; Baylis, Charles ; Cohen, Lawrence ; De Graaf, Jean ; Marks, Robert J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Baylor Univ., Waco, TX, USA
Abstract :
Power amplifiers in modern wireless systems must meet increasingly stringent spectral constraints while still operating with high power efficiency. A new peak-search algorithm is demonstrated to find the Pareto optimum of power-added efficiency (PAE) while producing an adjacent channel power ratio (ACPR) value under a specified maximum. A peak-search is first performed for the maximum PAE, and then a small-step steepest descent walk in the ACPR is taken from the PAE maximum toward the ACPR minimum until ACPR requirements are met. This approach reasonably approximates the Pareto optimum for the device. Simulation and measurement data are presented for searches from multiple starting points, and good correspondence is obtained for the Pareto optimum reflection coefficient, as well as the optimum PAE and ACPR values. This measurement-based algorithm is expected to find useful application in real-time adaptive radio and radar transmitters, as well as in bench-top measurements for amplifier design.
Keywords :
Pareto optimisation; optimisation; power amplifiers; radio networks; radio transmitters; search problems; ACPR; PAE; Pareto optimum reflection coefficient; adjacent channel power ratio; amplifier design; bench top measurements; load pull optimization; measurement data; peak search algorithm; power added efficiency; power amplifiers; radar transmitters; real-time adaptive radio; stringent spectral constraints; wireless systems; Impedance; Linearity; Pareto optimization; Radar; Tuning; Wireless communication; Adjacent channel power ratio (ACPR); gradient; load–pull; power-added efficiency (PAE); search algorithm; steepest ascent;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2014.2331626