Publication of Research on Reflection Coefficient Estimation in Cable Networks

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The study “Reflection Coefficient Estimation in Cable Networks via TFDR-based Sparse Recovery and Bewley Lattice-aided Recursive Mapping” by Hobin Lim and Yong-Jun Shin was published in IEEE Transactions on Instrumentation and Measurement. The proposed method uses cable-network topology and signal sparsity to estimate reflection coefficients across multiple branch sections. A Bewley lattice-aided recursive mapping mitigates the propagation of upstream estimation errors, while experiments on multi-branch cable networks demonstrate reliable fault-location and reflection-coefficient estimation under complex reflection conditions.