姚誉, 李泽清, 范文, 等. 基于ABSUM的MIMO雷达频谱兼容波形设计[J]. 雷达学报, 2022, 11(4): 543–556. doi: 10.12000/JR22138.
引用本文: 姚誉, 李泽清, 范文, 等. 基于ABSUM的MIMO雷达频谱兼容波形设计[J]. 雷达学报, 2022, 11(4): 543–556. doi: 10.12000/JR22138.
YAO Yu, LI Zeqing, FAN Wen, et al. Spectrally compatible waveform design for MIMO radar based on ABSUM method[J]. Journal of Radars, 2022, 11(4): 543–556. doi: 10.12000/JR22138.
Citation: YAO Yu, LI Zeqing, FAN Wen, et al. Spectrally compatible waveform design for MIMO radar based on ABSUM method[J]. Journal of Radars, 2022, 11(4): 543–556. doi: 10.12000/JR22138.

基于ABSUM的MIMO雷达频谱兼容波形设计

Spectrally Compatible Waveform Design for MIMO Radar Based on ABSUM Method

  • 摘要: 该文讨论了多输入多输出(MIMO)雷达发射波形和接收滤波器的联合优化问题,以确保与叠加的授权通信网络频谱兼容。考虑信号相关杂波的干扰,在发射能量、相似性和频谱兼容约束下,所提出的信干噪比(SINR)最大化的优化问题是NP-hard问题。为此,首先引入辅助变量对原问题进行修正,然后提出了一种基于乘子块连续上界极小化的原对偶(ABSUM)算法求解该问题。此外,利用内点法求解在ABSUM算法每个更新过程中涉及的二次规划问题。最后,仿真结果表明,ABSUM算法在输出SINR、波束图、频谱特性等方面优于现有方法。

     

    Abstract: This paper proposes a joint design method to optimize the transmit waveforms and receive filter bank in Multiple-Input Multiple-Output (MIMO) structure ensuring spectral compatibility with the surrounding communication service network. Considering the signal-dependent clutter interference, under the constraints of transmission energy, waveform similarity and spectrum compatibility, the formulated optimization problem of the output Signal-to-Interference-plus-Noise Ratio (SINR) maximization is NP-hard. Toward this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the Alternating Block Successive Upper-bound Minimization (ABSUM) method is developed to deal with the resulting problem. Furthermore, an interior point method is used to handle the quadratic programming problem involved in each update procedure of the devised ABSUM method. Finally, numerical simulations are performed to demonstrate the superiority of the proposed method over state-of-the-art methods in terms of the optimized SINR, beampattern, computational complexity and ambiguity properties.

     

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