A new and flexible design method for Symmetric Quadrature Hybrid Couplers using Markov Chain Monte Carlo
Arjun Ghosh, Ritoban Basu Thakur

TL;DR
This paper introduces a novel MCMC-based analytical method for designing larger, more efficient symmetric quadrature hybrid couplers with significantly improved bandwidth performance, surpassing traditional limitations.
Contribution
The authors develop a flexible MCMC-driven design pipeline that enables the creation of larger-section couplers with enhanced bandwidth, overcoming previous computational constraints.
Findings
Achieved fractional bandwidth of 1.0 for a 9-section coupler
Demonstrated improved performance over traditional designs
Validated robustness through statistical analysis and convergence tests
Abstract
Quadrature Hybrid Couplers (QHDC) are critical components in RF, mm-wave, and sub-mm wave astronomical instrumentation, where wideband performance with minimal passband ripple is essential. Traditional designs have been limited to 5-sections at most due to computational limitations. In this work, we introduce a new analytical technique to design couplers with larger sections and improved performance. We do this by employing a Markov Chain Monte Carlo (MCMC) based solver. By defining a likelihood function based on S-parameter equations and incorporating physical priors, we derive optimized impedance values that enhance bandwidth beyond what is reported in the literature. Our flexible pipeline allows efficient tuning of the coupler design. The results demonstrate fractional bandwidths that reach 1.0 for a 9-section coupler, substantially outperforming previous designs. Statistical…
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Taxonomy
TopicsEngineering Applied Research
