Abstract

This lecture will explore techniques that bridge theoretical concepts with practical implementation in modern RF and microwave systems. As wireless communication technologies continue to evolve with increasing complexity, mastering these synthesis techniques becomes essential for designing high-performance, compact filtering solutions that meet stringent requirements across diverse applications.

The lecture will cover following areas:

• Characteristic Polynomials Synthesis: The generation for the optimized filtering functions will be examined, which stipulates the in-band return loss and out-of-band transmission zeros simultaneously. In particular, the Remez-like numerical synthesis approach will be addressed, as it provides more flexibilities compared to the analytical Chebyshev method.
• Coupling Matrix Reconfiguration: The translation process from filtering functions into a coupling matrix that corresponds to the physical topology will be explained. Furthermore, the reconfigurations recipes for some canonical topologies that facilitates physical realizations will also be discussed.
• Filtering Synthesis in Multiplexers: The synthesis techniques for multi-channel filtering systems will be explored. In such a complex filtering network, the inter-channel interactions must be taken into account while optimizing each channel performance. The synthesis method for contiguous-band diplexer will also be reviewed.

About the speaker

Prof. Huan Meng received the B.Eng. degree (with first-class honors) in electronic and information engineering from The Hong Kong Polytechnic University, Hong Kong, in 2010. He obtained the M.Phil. degree in electronic engineering from The Chinese University of Hong Kong, Hong Kong, in 2012 and the Ph.D. degree in 2019. He is currently an Assistant Professor at Shenzhen Technology University.

His research mainly focused on the filter synthesis of coupled resonator network, and computer aided tuning of microwave filters and multiplexers. From 2019 to 2023, he worked as the chief algorithm engineer in Mechawaves (Shenzhen) Limited, the company that provided the first end-to-end robotic automatic filter tuning services in the world. His major responsibilities included product onboarding and efficient model extraction and tuning algorithms for robotic tuning of high volume 5G microwave filters and high-performance diplexers.