Moritz Tockner, Oliver Lang, Andreas Meingassner, Mario Huemer,
"Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator"
: Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024), IEEE, 10-2024
Original Titel:
Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024)
Original Kurzfassung:
The performances of blind in-phase and quadrature-phase (I/Q) imbalance estimators in orthogonal frequency-division multiplexing (OFDM) direct-conversion receivers are heavily dependent on the subcarrier allocation of the input signal. In this work, we analytically derive the performance statistics of a state-of-the-art moment-based I/Q imbalance estimator for
an arbitrary subcarrier allocation and modulation alphabet in presence of additive white Gaussian noise (AWGN). This allows us to derive a statistical bound on the achieved image rejection ratio (IRR) as a function of the number of processed OFDM symbols. Based on this bound, we provide a method for finding the estimator?s optimum tuning parameter that yields the desired IRR with a specified probability in minimal time.
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