Blind Identification and Digital Compensation of Memory Nonlinearities for Multiband Systems

Memory nonlinearities exist in electronic devices or transmission links. A blind identification method is proposed to estimate the Volterra inverse of memory nonlinearities for multiband system by minimizing the strong out-of-band spurs above the preset threshold based on domain transformation and spur classification. The inverse model is employed to recover the noisy sampled signal or improve the spurious-free dynamic range of memory nonlinear system by applying post-distortion or pre-distortion compensation. It can also used as multiband digital filter with varying intermediate frequency or bandwidth. In time-varying system, the filter coefficients can be updated adaptively by iterate search. The experiment results demonstrate the effectiveness.