Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices
Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices
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DOI：
10.1109/taes.2018.2852200
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发表时间：
2019-02
影响因子：
4.4
通讯作者：
Xianxiang Yu;G. Cui;L. Kong;Jian Li;Guan Gui
中科院分区：
文献类型：
--
作者：
Xianxiang Yu;G. Cui;L. Kong;Jian Li;Guan Gui
本文研究了多输入多输出雷达的稳健波形设计，以提高信号相关干扰中的目标检测能力。提出了两种保证收敛特性的迭代算法，在恒模和相似约束下最大化最坏情况下的信干噪比(SINR)。算法的每一次迭代都将高维问题分解为多个一维问题，这些问题的最优解可以在多项式时间内找到。文中给出了数值算例，与现有方法相比，该方法在探测信号的连续和离散两种情况下的信噪比和计算时间方面都得到了评估。
This paper deals with the robust waveform design of multiple-input multiple-output radar to improve target detectability embedded in signal-dependent interferences. Two iterative algorithms with ensuring convergence properties are introduced to maximize the worst case signal-to-interference-plus-noise ratio (SINR) over steering matrix mismatches under the constant modulus and similarity constraints. Each iteration of the proposed algorithms splits the high-dimensional problem into multiple one dimensional problems, to which the optimal solutions can be found in polynomial times. Numerical examples are provided to assess the capabilities of the proposed techniques in comparison with the existing methods in terms of the SINR and the computational times for both the continuous and discrete phase cases of the probing signal.