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Robust joint design of transmit waveform and receive filter for MIMO radar space-time adaptive processing with signal-dependent interferences

机译:具有信号相关干扰的MIMO雷达时空自适应处理的发射波形和接收滤波器的鲁棒联合设计

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This study deals with the problem of joint design of multiple-input-multiple-output (MIMO) radar transmit waveform and receive filter in the presence of signal-dependent interferences. To enhance the detection performance of a slow moving target, MIMO radar space-time adaptive technology is adapted. Considering the issue of imprecise knowledge about target's Doppler frequency and direction, the worst-case output signal-to-interference-plus-noise ratio over the uncertainty set of target steering vector is set as figure of merit. Furthermore, due to the non-linear power amplifier and the fact that transmit antenna may be out of work, constraints of peak-to-average power ratio and transmit power for each transmit antenna are taken into account. As to the resulted hard problem, some suitable mathematical transformations are performed and a novel sequential optimisation procedure combined with semi-definite relaxation, Charnes-Cooper transform and Lagrange duality method is developed to tackle the non-convex joint design problem. Randomisation procedure is utilised to synthesise the final transmit waveform and receive filter. The computational complexity is linear with the numbers of iterations and trials of the randomisation. The convergence of the devised algorithm is analysed and numerical results in a variety of scenarios are provided to demonstrate the effectiveness of the proposed algorithm.
机译:这项研究解决了在存在信号相关干扰的情况下,多输入多输出(MIMO)雷达发射波形和接收滤波器的联合设计问题。为了增强慢速移动目标的检测性能,采用了MIMO雷达时空自适应技术。考虑到对目标多普勒频率和方向的了解不够精确的问题,将目标转向矢量不确定性范围内最坏情况下的输出信号干扰加噪声比设置为品质因数。此外,由于非线性功率放大器以及发射天线可能不工作的事实,考虑了每个发射天线的峰均功率比和发射功率的约束。针对由此产生的难题,进行了一些合适的数学变换,并开发了一种结合半定松弛,Charnes-Cooper变换和Lagrange对偶性方法的新型顺序优化程序,以解决非凸联合设计问题。利用随机化过程来合成最终的发射波形和接收滤波器。计算复杂度与随机迭代次数和试验次数成线性关系。分析了所设计算法的收敛性,并在各种情况下提供了数值结果,以证明所提算法的有效性。

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