Abstract: The present invention is an architecture and method for radio frequency (RF) simultaneous transmit and receive applications that uses linear and nonlinear modeling to generate a very accurate, wideband analog signal that cancels self-interference before it is digitized by the receiver. In addition to this digitally assisted analog cancellation, another layer of signal cancellation is provided with digital blind source separation. Adaptive signal processing continuously monitors the level of cancellation and updates the processing to provide optimal performance in changing conditions (e.g., rapidly changing frequency content, signal power, temperature, etc.). Signal cancellation can be performed on extremely broadband signals providing high levels of cancellation, enabling a full-duplex RF transceiver. Furthermore, the present invention optionally includes an external signal canceller for cancelling unknown interference such as jamming.

Abstract: The present invention is an architecture and method for radio frequency (RF) simultaneous transmit and receive applications that uses linear and nonlinear modeling to generate a very accurate, wideband analog signal that cancels self-interference before it is digitized by the receiver. In addition to this digitally assisted analog cancellation, another layer of signal cancellation is provided with digital blind source separation. Adaptive signal processing continuously monitors the level of cancellation and updates the processing to provide optimal performance in changing conditions (e.g., rapidly changing frequency content, signal power, temperature, etc.). Signal cancellation can be performed on extremely broadband signals providing high levels of cancellation, enabling a full-duplex RF transceiver. Furthermore, the present invention optionally includes an external signal canceller for cancelling unknown interference such as jamming.

Abstract: The present invention is a computationally-efficient compensator for removing nonlinear distortion. The compensator operates in a digital post-compensation configuration for linearization of devices or systems such as analog-to-digital converters and RF receiver electronics. The compensator also operates in a digital pre-compensation configuration for linearization of devices or systems such as digital-to-analog converters, RF power amplifiers, and RF transmitter electronics. The adaptive Volterra compensator effectively removes nonlinear distortion in these systems by implementing an adaptive background algorithm to periodically update actual filter coefficients to maintain optimal performance in operating conditions varying over time (e.g., temperature, frequency, signal level, and drift); or both. The xadaptive background algorithm calculates the optimal nonlinear filter coefficients to reduce nonlinear distortion.