摘要
在大国竞争日益激烈的当下,低成本同时高性能的国防装备设计成为国家防御战略的核心。稀疏阵列技术作为一种新兴的传感器排列方式,有望在保持阵列波束性能的基础上,大幅度降低所需阵元的数量,从而降低雷达软、硬件成本,在国防装备低成本设计中具有显著的应用潜力。详细探讨了稀疏阵列自适应波束形成算法的推导过程和性能,并分析了其在提升装备性能方面的多重优点。采用模拟仿真的方法,对比分析了不同阵列稀疏算法在多个性能指标上的表现。结果表明,设计的稀疏阵列算法不仅有助于降低雷达的整体成本,而且在关键性能指标上达到了与传统阵列相当甚至更优的水平。
In the increasingly fierce competition between great powers,the design of low-cost and high-performance defense equipment has become the core of national defense strategy.As a new sensor arrangement method,sparse array technology is expected to greatly reduce the number of required array elements on the basis of maintaining the array beam performance,thus reducing the cost of radar software and hardware.It has significant application potential in the low-cost design of national defense equipment.In this paper,the derivation and performance of sparse array adaptive beamforing algorithm are discussed in detail,and its multiple advantages in improving equipment performance are analyzed.In this study,the simulation method is used to compare and analyze the performance of different adaptive sparse array beamforming algorithms on multiple performance indexes.The results show that the sparse array algorithm designed in this paper not only helps to reduce the overall cost of radar,but also achieves the same or even better level in the key performance index than the traditional array.
作者
石万录
李伊龙
赵爽宇
SHI Wanlu;LI Yilong;ZHAO Shuangyu(Shenyang Aircraft Design&Research Institute,Shenyang 110035,China)
出处
《飞机设计》
2025年第5期47-52,共6页
Aircraft Design
