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Optimization methods for sequence design with low autocorrelation sidelobes

机译:低自相关旁瓣的序列设计优化方法

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Unimodular sequences with low autocorrelations are desired in many applications, especially in the area of radar and code-division multiple access (CDMA). In this paper, we propose a new algorithm to design unimodular sequences with low integrated sidelobe level (ISL), which is a widely used measure of the goodness of a sequence's correlation property. The algorithm falls into the general framework of majorization-minimization (MM) algorithms and thus shares the monotonic property of such algorithms. In addition, the algorithm can be implemented via fast Fourier transform (FFT) operations and thus is computationally efficient. Numerical experiments show that the proposed algorithm outperforms the state-of-the-art algorithm in terms of both the quality of designed sequences and the computational complexity.
机译:在许多应用中,尤其在雷达和码分多址(CDMA)领域,都需要具有低自相关的单模序列。在本文中,我们提出了一种新的算法来设计具有低综合旁瓣水平(ISL)的单模序列,这是一种广泛使用的衡量序列相关性优良性的方法。该算法属于主要最小化(MM)算法的通用框架,因此具有此类算法的单调性。另外,该算法可以通过快速傅立叶变换(FFT)操作实现,因此计算效率高。数值实验表明,无论是设计序列的质量还是计算复杂度,该算法均优于最新算法。

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