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学术报告六十九:周正春—New spectrally constrained sequence sets with optimal cross-correlation

时间:2022-08-12 作者: 点击数:

报告时间20228159:00-10:00

报告地点:翡翠科教楼B1710

报告人:周正春 教授

工作单位:西南交通大学

举办单位:数学学院

报告简介Spectrally constrained sequences (SCSs) play an important role in modern communication and radar systems operating over non-contiguous spectrum. Despite numerous research attempts over the past years, very few works are known on the constructions of optimal SCSs with low cross-correlations. In this talk, we address such a major problem by introducing a unified framework to construct unimodular SCS families using circular Florentine rectangles (CFRs) and interleaving techniques. We also present a tighter correlation lower bound and show that it is achievable by our proposed SCS families including multiple SCS sets with zero correlation zone properties.

报告人简介:周正春,西南交通大学教授、博士生导师,国家级青年人才项目入选者、JWKJW重点项目组专家。一直致力于面向通信、雷达、数据降维、信息安全、电子对抗的编码理论和智能信息处理技术研究,在领域权威期刊IEEE Transactions on Information Theory/Signal Processing/Neural Networks and Learning Systems /Communications/Wireless Communications/Designs Codes and Cryptography、中国科学等国内外权威学术期刊发表论文80余篇,9篇论文入选ESI高被引论文。先后完成40余项国家级、省部级、GF和企业委托项目。设计的两类序列入选下一代WIFI国际标准;曾获全国百篇优秀博士论文获、教育部自然科学二等奖(2次,分别排序第一和第二)。先后入选四川省杰青、中国信息论青年新星、装备部/教育部联合资助青年人才、成都市有突出贡献的优秀专家、首届天府万人计划科技菁英、国家级青年人才。


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