Equivalent External Noise Temperature of Time-Varying Receivers
Kurt Schab, K. C. Kerby-Patel
TL;DR
The paper addresses how time-varying receivers alter the external noise temperature by intermodulating out-of-band noise into the observation band. It generalizes the classical antenna noise-temperature framework through a cross-frequency effective aperture, enabling analysis of signals and noise under periodic time variation, including parametric amplification and time-modulated arrays. Key contributions include explicit expressions for $T_A^{ ext{TV}}$ in terms of harmonic apertures $ar{A}_ ext{eff}^p$ and harmonics $p$, comparisons between LTI and TV SNRs, and demonstrative case studies (degenerate parametric amplification and TMAs) showing substantial out-of-band noise coupling and mitigation strategies via filtering. The findings underscore practical design tradeoffs in time-varying systems and provide a pathway for noise analysis and optimization in advanced receivers. Practical impact lies in guiding modulation and filtering choices to balance gain with noise performance in time-varying antennas and architectures.
Abstract
The equivalent external noise temperature of time-varying antennas is studied using the concept of cross-frequency effective aperture, which quantifies the intermodulation conversion of external noise across the frequency spectrum into a receiver's operational bandwidth. The theoretical tools for this approach are laid out following the classical method for describing external noise temperature of linear time-invariant antennas, with generalizations made along the way to capture the effects of time-varying components or materials. The results demonstrate the specific ways that a time-varying system's noise characteristics are dependent on its cross-frequency effective aperture and the broadband noise environment. The general theory is applied to several examples, including abstract models of hypothetical systems, antennas integrated with parametric amplification, and time-modulated arrays.
