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MIMO radar waveform design with similarity constraint in the presence of interference

机译:MIMO雷达波形设计具有相似性限制在存在干扰时

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Conventional radar generally uses fixed transmit waveform, which is difficult to obtain optimal target detection performance in the presence of interference. To solve this problem, a joint optimization algorithm of waveform and receiving filter for MIMO radar is proposed. Firstly, the maximization of output signal to interference plus noise ratio is used as objective function. The joint optimization model of waveform and receiving filter is established under constant modulus and a similarity constraint. Then, under the framework of cyclic iterative algorithm, the joint optimization problem is decomposed into two sub-optimization problems, which are solved by using Lagrange multiplier method and semi-definite relaxation technique, respectively. The proposed joint optimization algorithm finally results in transmit waveform and receiving filter weights. Several numerical examples are provided to demonstrate the effectiveness of the proposed method.
机译:传统的雷达通常使用固定发射波形,这难以在存在干扰的情况下获得最佳目标检测性能。为了解决这个问题,提出了一种用于MIMO雷达的波形和接收滤波器的联合优化算法。首先,输出信号的最大化与干扰加噪声比用作目标函数。波形和接收滤波器的联合优化模型在恒定模量和相似度约束下建立。然后,在循环迭代算法的框架下,联合优化问题分解为两个子优化问题,通过使用拉格朗日乘法器方法和半定弛豫技术来解决。所提出的联合优化算法最终导致发送波形和接收滤波器权重。提供了几个数值例子以证明所提出的方法的有效性。

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