周教授的團隊致力於發展高增益與智慧型天線技術,並將相關的電磁、射頻晶片、元件及通訊技術整合應用。這包含從天線本體的多頻/寬頻元件、頻率選擇平面、移相器、切換開關等輔助射頻元件,到電磁數值技術、天線/波形功能最佳化演算法,以及創新天線應用所需的電磁理論。
團隊的核心目標是以應用為導向,實現高增益天線技術並推動其產業化,進而利用天線技術建構先進的通訊與雷達系統。目前,他們的研究核心聚焦於四種關鍵天線類型,因其多元性和前瞻性:碟形天線、主動陣列天線、反射陣列天線及透射陣列天線。在系統層面,團隊則專精於開發 Massive MIMO 天線系統、追蹤雷達系統及智慧型天線系統。
周教授的團隊是國內少數能夠實現天線與射頻系統整合的頂尖團隊之一。目前,他們的研究重點包括:
超大型陣列天線的前瞻技術: 專注於開發超大型陣列天線的電磁數值分析技術、天線設計演算法則、應用領域拓展,以及將天線作為網路終端的網路化與智慧化技術。
高增益天線的應用電磁理論: 深入研究時域與頻域電磁理論,特別是發展基於幾何繞射理論的電磁機制,以實現天線區域化設計中的繞射特性。
次世代通訊天線智慧化: 發展下世代行動通訊基地站和衛星通訊所需的高增益天線技術,尤其著重於開發智慧化機制以滿足動態應用需求。此類天線技術和智慧化方向正逐步邁向毫米波及次太赫茲 (Sub-THz) 頻段。
超大型天線量測與訊號處理: 開發超大型天線的量測技術、訊號分解技術,以及多路徑干擾的分解與抑制技術,旨在克服有限量測空間的限制,最終目標是整合量測與數值技術,以提升天線系統的評估和最佳化設計能力。
5G/B5G/6G 天線系統整合: 研究應用於次世代行動通訊系統 (包含 Sub-6 GHz 及毫米波) 的 5G/B5G/6G 天線系統(含毫米波與低軌衛星應用)、Massive MIMO 系統和智慧型天線通訊系統。這也包括整合射頻 IC 模組的天線系統,以實現毫米波及 Sub-THz 天線與 IC 的模組化封裝技術(Antenna in Package, AiP & Antenna-in-Module, AiM),以及波束掃描、切換等技術。
追蹤與毫米波雷達系統: 發展追蹤天線系統和毫米波雷達系統,應用於無人機、汽車等載具的智慧駕駛、通訊與目標偵測。
Professor Chou's research has consistently driven the advancement of high-gain and intelligent antenna technologies. This encompasses foundational work in electromagnetic (EM) theories, novel antenna components, passive RF components, advanced numerical EM techniques, and sophisticated optimization algorithms. His core objective has always been to prioritize application potential, ensuring that antenna and RF system technologies directly enable industrial uses and the development of robust RF systems.
Currently, his efforts are concentrated on cutting-edge antenna types, including reflector antennas, active phased array antennas, reflectarray antennas, and transmit array antennas. The aim is to fully unlock their potential and facilitate advanced applications.
Over recent years, Professor Chou's primary research activities have centered on the following key areas:
Next-Generation Antenna System Enablement: Developing advanced techniques for realizing vast antenna systems, including rapid analysis and numerical EM methods, sophisticated antenna design and realization algorithms, expanding application scenarios, and pioneering cloud-based optimization for antenna networking and intelligent operations.
Fundamental EM for High-Gain Antennas: Building robust electromagnetic foundations for high-gain antennas through both time- and frequency-domain EM theories. A key goal is to develop theories based on the Uniform Geometrical Theory of Diffraction (UTD) architecture, which precisely describes diffraction mechanisms for localized antenna design.
High-Gain Antennas for Future Communications: Focusing on high-gain antenna technologies vital for next-generation mobile communications, satellite communications, and specialized applications. Significant emphasis is placed on developing intelligent operation mechanisms to meet dynamic application needs, with a clear trend towards millimeter-wave and sub-terahertz (Sub-THz) frequency bands.
Advanced Antenna Measurement and Characterization: Enhancing techniques for measuring, signal decomposition, and suppressing/decomposing multipath interference in extensive antenna systems. The objective is to overcome spatial limitations in measurement environments, ultimately integrating measurement systems with numerical software to enable comprehensive characterization and optimal design of antenna systems in simulated application scenarios.
Integrated Antenna Systems for 5G/B5G/6G: Developing antenna systems, Massive MIMO systems, and innovative antenna solutions for 5G, Beyond 5G (B5G), and 6G applications in next-generation mobile communications (covering sub-6 GHz, millimeter-wave, and Sub-THz frequencies). A major focus is on modularization technologies like Antenna-in-Package (AiP) and Antenna-in-Module (AiM), integrating antennas directly with RF ICs, with active antenna array systems being a primary long-term goal.
Tracking and Radar Systems: Advancing tracking antenna systems and radar systems for critical applications in communications and target detection for Low Earth Orbit (LEO) satellites, Unmanned Aerial Vehicles (UAVs), and autonomous vehicles.