一种基于阵列构型与阵元数量联合优化的分布式雷达主瓣干扰抑制方法

Distributed Radar Main-lobe Interference Suppression Method Via Joint Optimization of Array Configuration and Subarray Element Number

针对单基雷达无法有效抑制伴随式主瓣压制干扰的问题,可通过部署稀疏辅助阵形成等效大孔径阵列,从空域上将主瓣干扰与目标进行分离,但该方法易形成空域栅瓣。针对以上问题,该文提出了一种基于阵列构型与阵元数量双参数迭代优化框架,该框架由阵列构型优化与子阵阵元数量优化两部分组成,其中阵列构型优化固定子阵阵元数量,基于最小方差无失真响应准则在主瓣干扰方向形成零陷,利用改进自适应遗传粒子群算法在孔径尺寸、子阵最小间距和主瓣干扰方向零陷深度等约束条件下优化阵列构型,抑制波束栅瓣;子阵阵元数量优化通过改进自适应遗传粒子群算法在有限子阵阵元数量、主瓣干扰方向零陷深度等约束条件下优化子阵阵元数量,进一步抑制波束栅瓣。此外,通过数值仿真验证了相同参数条件下阵列构型与阵元数量双参数迭代优化框架的有效性。最后,针对典型分布式机动平台协同探测场景,探索了主瓣干扰抑制和栅瓣抑制性能边界。

To address the ineffectiveness of single-base radar in suppressing adjoint main-lobe interference,an equivalent large-aperture array can be designed by deploying sparse auxiliary arrays to separate main-lobe interference from targets in the spatial domain.However,this method is prone to generating spatial grating lobes.To overcome this problem,this study proposes a dual-parameter iterative optimization framework comprising two parts:array configuration optimization and subarray element number optimization.Array configuration optimization caters to the number of subarray elements and creates nulls in the main-lobe interference direction on the basis of the minimum variance distortionless response criterion.To suppress grating lobes of the beam an improved adaptive genetic particle swarm algorithm is used to optimize the array configuration under constraints,such as aperture size,minimum subarray spacing,and null depth in the mainlobe interference direction.Subarray element number optimization uses the above-mentioned algorithm to optimize the number of subarray elements under constraints,such as a limited number of subarray elements and null depth in the main-lobe interference direction,further suppressing beam grating lobes.Finally,numerical simulations confirmed the effectiveness of the dual-parameter iterative optimization framework for array configuration and element number under the same parameter conditions.Additionally,this study explores the performance boundaries of main-lobe interference suppression and grating lobe suppression for typical distributed mobile platform cooperative detection scenarios.