| 摘要: |
| 针对任意阵列天线的自适应空域滤波和低副瓣控制的问题，提出了一种连续自适应方向图控制方法。该方法通过采用线性约束最小方差准则的方向图综合算法（LCMV-PS）产生具有低副瓣特性的静态权矢量，利用该权矢量构造出新的约束条件，进行线性约束最小均方误差（LMS）自适应波束形成。该方法避免了常规的线性约束最小方差（LCMV）算法的矩阵求逆运算，计算复杂度低。对几种天线阵形的计算机仿真结果表明该方法收敛速度快，稳态性能良好。 |
| 关键词: 阵列信号处理 自适应波束形成 方向图控制 最小均方算法 |
| DOI： |
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| 基金项目: |
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| A linearly constrained sample-by-sample adaptive pattern control method |
| DENG Xin |
| () |
| Abstract: |
| For adaptive spatial filtering and low-sidelobe level controlling for arbitrary array,a sample-by-sample adaptive pattern control method is proposed.By adopting Linearly Constrained Minimum Variance Pattern Synthesis(LCMV-PS)，the method achieves a static weight vector,which has the property of low-sidelobe level.The weight vector is used to construct a new constraint,and based on linearly constrained Least Mean Square(LMS) the optimal weight vector of adaptive beamforming is obtained.The method avoids the inverse of the sample covariance matrix,thus enjoying lower computational complexity.Simulations for several kinds of antenna structure demonstrate that the method has a fast convergent rate and better performance than other sample-by-sample pattern control methods. |
| Key words: array signal processing adaptive beamforming pattern control least mean square algorithm |
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