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Sequence Set Design with Min-Max Criterion Using Majorization-Minimization

机译:采用最小化-最大化准则的最小-最大准则的序列集设计

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This paper investigates the problem of designing a sequence set with both good auto- and cross-correlation properties, which is required in lots of communication systems and active sensing, e.g., code-division-multiple-access (CDMA) cellular systems and multiple-input-multiple-output (MIMO) radar systems. In order to achieve uniform correlation sidelobes of the designed sequence, we design the sequence set construction algorithm using the min-max criterion. But the sequence set design problem at hand is highly nonlinear and non-convex. To address the optimization problem arising from the sequence set design, we propose a lightweight and efficient iterative algorithm based on majorization-minimization and block coordinate descent methods. Numerical results demonstrate the performance of the proposed method.
机译:本文研究了设计具有良好自相关和互相关特性的序列集的问题,这在许多通信系统和主动感应(例如,码分多址(CDMA)蜂窝系统和多系统)中是必需的输入多输出(MIMO)雷达系统。为了获得设计序列的均匀相关旁瓣,我们使用最小-最大准则设计序列集构建算法。但是手头的序列集设计问题是高度非线性和非凸的。为了解决由序列集设计引起的优化问题,我们提出了一种基于主化-最小化和块坐标下降法的轻量级高效迭代算法。数值结果证明了该方法的性能。

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