Generalized Cyclic Algorithms for Designing Unimodular Sequence Sets with Good (Complementary) Correlation Properties
Generalized Cyclic Algorithms for Designing Unimodular Sequence Sets with Good (Complementary) Correlation Properties
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DOI：
10.1109/sam.2018.8448920
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Arindam Bose;I. A. Arriaga-Trejo;A. Orozco-Lugo;M. Soltanalian
中科院分区：
文献类型：
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作者：
Arindam Bose;I. A. Arriaga-Trejo;A. Orozco-Lugo;M. Soltanalian
具有良好相关性的单模序列由于其在雷达传感和通信等多个领域的应用而引起了人们的广泛研究兴趣。在本文中，我们解决了使用广义循环算法设计具有良好相关性和互补相关性的单模序列集的问题，以最小化基于加权积分旁瓣电平（WISL）的度量。这组序列是通过考虑其完整的二阶表征而获得的，这已被证明有利于采用广泛线性信号处理的识别和传感系统。已经提出了几个数值示例来说明所提出算法的性能。
Unimodular sequences with good correlation properties have attracted significant research interest due to their applications in several areas such as radar sensing and communications. In this paper, we address the problem of designing unimodular sequence sets with good correlation and complementary correlation properties using generalized cyclic algorithms for the minimization of weighted integrated sidelobe level (WISL) based metrics. The set of sequences are obtained by considering their complete second-order characterization, which has been proven to be beneficial for identification and sensing systems employing widely linear signal processing. Several numerical examples have been presented to illustrate the performance of the proposed algorithms.