ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use cases with or without polarization division multiplexing (PDM). The CLEAR method jointly processes the samples of the two channels after the corresponding analog‐to‐digital converters (ADCs), it has a low computational complexity and is suitable for very‐high‐rate implementations. This non‐data‐aided and non‐decision‐directed method is derived in a channel model with co‐channel interference (CCI) and/or cross‐polarization interference (XPI), including effects such as reduced cross‐channel discrimination (XCD) and/or cross‐polarization discrimination (XPD) of the receive antenna, depolarization due to atmospheric conditions, differential frequency offset (DFO) between the two channels, and power imbalance due to independent receive antenna gains. The resulting carrier‐to‐interference ratio and carrier‐to‐noise‐and‐interference ratio performance of the dual‐channel receiver presents considerable energy efficiency improvements with this interference compensation method, and is particularly beneficial for higher‐order modulation. As a result, the CLEAR method is a practical solution to increase the data rates of the satellite air interface in DVB‐S2X/CCSDS and 5G NTN systems by the use of two independent satellite links.
Svilen Dimitrov (2026) studied this question.