基于DFT的MIMO雷达发射方向图设计

    Transmit Beampattern Design for MIMO Radar Based on Discrete Fourier Transform

    • 摘要: 针对多输入多输出(MIMO)雷达的发射方向图设计问题,为了在保证方向图匹配性能以及空域弱互相关性的前提下,有效降低计算复杂度,提出一种基于离散傅里叶变换(DFT)的方向图设计算法。该算法先依据方向图的匹配性能及空域互相关性构建代价函数,再利用DFT 构造发射信号协方差矩阵,从而避免了采用传统凸优化方法引入的极高复杂度。理论分析表明,该算法设计的信号协方差矩阵能够满足方向图设计模型中的基本约束条件,同时使得代价函数最小,具备一定的合理性。仿真及性能分析结果表明,该算法计算复杂度低,且设计出的方向图匹配性能良好、空域互相关性小。

       

      Abstract: In order to ensuring good matching performance and low spatial cross-correlation of multiple-input multiple-output(MIMO) radar beampattern, as well as decreasing computational complexity, an algorithm for transmit beampattern design based on discrete Fourier transform(DFT) is proposed in this paper. First, a cost function contains matching performance and spatial crosscorrelation is constructed, then a close-form of transmit signal covariance matrix is given by DFT. This method can avoid high complexity caused by convex optimization efficiently. Theoretical analysis indicates that the designed covariance matrix can fully satisfy basic constraints of beampattern design model, meanwhile it can minimize the cost function. Simulation and performance analysis shows that computational complexity of the algorithm is low, and the designed beampattern has good matching performance and low spatial cross-correlation.

       

    /

    返回文章
    返回