New spectrally constrained sequence sets with optimal cross-correlation
报告人： 周正春 (西南交通大学, 教授, 博士生导师)
报告时间：2022年5月23日13:00-14:00
地点: 四川大学数学学院西303学术报告厅
报告摘要：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、Designs Codes and Cryptography、中国科学等国内外权威学术期刊发表论文70余篇，8篇论文入选ESI高被引论文。先后完成30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。
