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Design of Multiple Unimodular Waveforms With Low Auto- and Cross-Correlations for Radar via Majorization-Minimization

机译:多种单模波形设计多种单模波形,通过大修 - 最小化实现雷达的低自动和交叉相关性

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We develop a new efficient method for designing unimodular waveforms with good auto- and cross-correlation properties for multiple-input multiple-output (MIMO) radar. Our waveform design scheme is conducted based on minimization of the integrated sidelobe level of designed waveforms, which is formulated as a quartic non-convex optimization problem. We start from simplifying the quartic optimization problem and then transform it into a quadratic form. By means of the majorization-minimization technique that seeks to find the solution of a corresponding quadratic optimization problem, we resolve the design of waveforms for MIMO radar. Corresponding algorithms that enable good correlations of the designed waveforms and meanwhile show faster convergence as compared to their counterparts are proposed and then tested.
机译:我们开发了一种新的高效方法,用于设计单模波形,具有用于多输入多输出(MIMO)雷达的良好的自动和互相关性能。我们的波形设计方案是基于最小化设计波形的集成旁观级别的最小化,其被制定为四个非凸优化问题。我们开始简化四芳的优化问题,然后将其转换为二次形式。通过旨在寻求找到相应的二次优化问题的解决方案的大多数最小化技术,我们解决了MIMO雷达的波形设计。与其对应物相比,相应的算法能够实现良好的设计波形和同时显示更快的收敛,然后进行测试。

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