Sequences with Low Ambiguity Sidelobes: Wireless Background, Theoretical Bounds, and Optimal Constructions
刘子龙，现任英国埃塞克斯大学副教授、6G实验室主任，并于2024年获评该校年度杰青。研究方向聚焦于编码、信号处理与通信系统的交叉领域，在《IEEE Transactions on Information Theory》等著名期刊发表学术论文一百余篇。刘子龙副教授先后毕业于华中科技大学（学士）、清华大学（硕士）、新加坡南洋理工大学（博士），并曾任英国萨里大学5G创新中心（欧洲最大的通信研究中心）高级研究员，深度参与并领导了面向5G的前沿项目。学术服务与国际影响力显著：他于2022年担任国际会议IWSDA全球大会主席；2023年担任日本政府6G在无人驾驶领域应用顾问，并作为红鸟学者访问香港科技大学；2024年担任国际会议SETA全球大会主席；2025年担任IEEE车载技术大会秋季分会无线通信信号处理领域主席。目前，他是《IEEE Transactions on Vehicular Technology》、《IEEE Transactions on Wireless Communications》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Wireless Communications Letters》与《Advances in Mathematics of Communications》 等多个国际著名期刊的编委。
Sequences with low ambiguity sidelobes play an important role in radar sensing, high mobility communications, and integrated sensing and communications (ISAC) in the 6G era. Conventional sequences may not work as they are generally designed for low/zero mobility wireless systems in the 3G time. In this talk, I will first introduce the wireless background whereby a transmit sequence is corrupted by both the Doppler shifts and time delays in time-varying multi-path propagation channels. Existing and new theoretical bounds on the maximum ambiguity sidelobes will be presented, including our recent work “Generalized Arlery-Tan-Rabaste-Levenshtein Lower Bounds on Ambiguity Function and Their Asymptotic Achievability” (IEEE TIT, July 2025). Optimal constructions of low-ambiguity sequences will then be introduced, with an emphasis on our new work “Asymptotically Optimal Sequence Sets with Low/Zero Ambiguity Zone Properties” (IEEE TIT, June 2025).
