Adaptive Digital Predistortion For Radar Applications Using Convex Optimization

Much of the research to date in predistortion design and implementation has been focused on communication applications. While useful for radar applications, the approaches that work well for communications waveforms do not necessarily result in optimal utilization of computational resources. To this end, a special case of the memory polynomial model is explored. As time alignment of signals can pose a problem for predistortion parameter estimation, a method of calculating the ideal predistortion coefficients in the frequency-domain using convex optimization is explored.