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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。
In order to reduce the computational complexity under the premise of ensuring the matching performance of the pattern and the weak cross-correlation in the spatial domain, aiming at the design of the transmitting pattern of multiple-input multiple-output (MIMO) radar, a DFT ) Of the direction of the design algorithm. The algorithm firstly constructs the cost function according to the matching performance of the pattern and the spatial correlation, and then constructs the covariance matrix of the transmitted signal by using DFT to avoid the extremely high complexity introduced by the traditional convex optimization method. Theoretical analysis shows that the signal covariance matrix designed by this algorithm can meet the basic constraints in the design pattern of the directional pattern, and at the same time, it can make the cost function to a minimum and have certain rationality. The results of simulation and performance analysis show that the proposed algorithm has low computational complexity and good matching performance.