汽车雷达多普勒敏感长离散相位周期序列集的高效设计

Wenjie Huang, Ronghao Lin
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引用次数: 6

摘要

提出了一种在多普勒频移下设计具有良好的自模糊和交叉模糊函数特性的长离散相周期序列集的有效方法。我们的目标是在模糊函数相关度量的期望时延和多普勒移位区域内最小化集成旁瓣电平。引入了一种坐标下降(CD)框架,该框架在CD迭代中具有高效的更新过程,以实现较低的计算复杂度。通过数值算例说明,我们可以设计出具有良好模糊函数性质的长序列集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Design of Doppler Sensitive Long Discrete-Phase Periodic Sequence Sets for Automotive Radars
We present an efficient method to design long discrete-phase periodic sequence sets with good auto- and cross-ambiguity function properties in the presence of Doppler shifts. Our goal is to minimize the integrated sidelobe level within a desired time-delay and Doppler-shift region of the ambiguity function related metric. A coordinate descent (CD) framework, with efficient updating procedures within the CD iterations, is introduced to achieve low computational complexities. We use numerical examples to demonstrate that we can design long sequence sets with good ambiguity function properties.
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