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中文摘要：
为提高集中式M IMO雷达在强杂波中的目标检测性能，同时兼顾雷达发射机对于恒定包络波形的需求，以系统输出信杂噪比最大为优化准则，研究了MIMO雷达恒模多波形及接收机权值的联合优化问题。基于循环优化算法将联合优化问题分解为两个子优化步骤，并提出了基于半正定松弛及高斯随机化的恒模波形设计算法。结果表明所提算法能够在迭代过程中不断增加输出信杂噪比直至算法收敛。此外，其相比于能量约束下的最优波形性能损失很小，能够实现自适应杂波抑制并改善目标检测性能。
英文摘要：
Aiming to improve the detection performance of colocated multiple-input-multiple-output （MIMO） radar in the presence of strong clutter ,we addressed the joint optimization problem of the waveform and receiver based on maximizing signal to clutter plus noise ratio （SCNR ） .Considering that practical radar systems employ constant envelope signals ,we also imposed a con-stant envelope constraint on the waveform .During the optimizations ,we divided the joint design problem into two steps ,and pro-posed an algorithm for the design of the constant envelope waveform based on semi-definite relaxation （SDR ） and Gaussian ran-domizations .Numerical simulations show that the proposed algorithm converges with increasing SCNR .Moreover ,compared with the optimal waveform under the energy constraint ,the SCNR loss is negligible .Finally ,the capability of adaptive clutter suppression and improved detection performance of the proposed algorithm is clearly demonstrated .
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