远距离海上雷达探测由于海上环境的复杂性容易受到杂波干扰，常用的最小均方算法通过在干扰噪声中形成主波束并引导至目标信号，有效解决了杂波干扰问题。通过对自适应智能天线波束形成技术的海上应用进行研究，给出了常用的天线阵列结构模型和信号模型，研究了智能天线中的自适应波束成型算法，目前在这一领域的解决方案中最小均方算法最为常见，但其存在收敛速度差、通用性低等问题。本文将优化遗传算法引入，对传统遗传算法中初始种群规划和交叉操作进行了优化和改进。仿真实验表明，与最小均方算法、传统遗传算法相比，优化遗传算法对杂波的抑制效果提高了28%，收敛速度提升了3倍，具有良好发展前景。
Long distance marine radar detection is vulnerable to clutter interference due to the complexity of the marine environment. The commonly used least mean square algorithm effectively solves the problem of clutter interference by forming the main beam in the interference noise and guiding it to the target signal. Through the research on the offshore application of adaptive smart antenna beamforming technology, the common antenna array structure model and signal model are given, and the adaptive beamforming algorithm in smart antenna is studied. Aiming at the problems of poor convergence speed and low universality of the traditional least mean square algorithm, the optimization genetic algorithm is introduced to optimize and improve the traditional genetic algorithm in the initial population planning and cross operation. The simulation results show that compared with the least mean square algorithm and the traditional genetic algorithm, the optimized genetic algorithm has a 28% improvement in clutter suppression effect and three times improvement in convergence speed. It has a good development prospect.
2024,46(2): 139-142 收稿日期：2022-12-23
DOI：10.3404/j.issn.1672-7649.2024.02.024
分类号：U665
作者简介：丁峰(1978-),男,博士,高级工程师,研究方向为软件无线电标准化技术
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