A novel reconfigurable alias interference cancellation technique for A-to-D conversion

We propose a novel technique for the controlled suppression of aliasing interferers during analog-to-digital conversion. The technique exploits the aliasing inherent in the sampling operation to perform interference cancellation. This is achieved by optimally spreading and weighting the aliasing bands in the frequency domain prior to the analog-to-digital converter (ADC). The resulting filtering response scales automatically with the ADC bandwidth and can be digitally reconfigured to target specific interference profiles to maximize the signal-to-interference-and-noise ratio (SINR). The proposed technique eliminates the need for complex reconfigurable filters in a varying spectral content scenario while maintaining minimal ADC bandwidth and resolution requirements.