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Synthesis of waveforms from zero-lag cross-correlation matrix with specified constraints and power levels

机译:具有指定约束和功率电平的零滞后矩阵的波形的综合

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In MIMO radar applications, zero-lag cross-correlation matrix of the transmitted waveforms is designed for a desired transmit beampattern and spatial ambiguity function. The transmitted waveforms are to be synthesized from this matrix subject to certain constraints. Recently, Jian Li et al. [1] formulated the synthesis problem as a multi-step optimization and outlined an iterative algorithm, named as cyclic algorithm, for implementing the optimization. Development of a MATLAB code for implementing the multi-step optimization is non-trivial and it calls for a significant effort. In this paper, we present the steps of the iterative algorithm in some detail and illustrate the results obtained from our code with some examples. Though the synthesis problem is motivated from MIMO radar applications, the algorithm can be considered as generic.
机译:在MIMO雷达应用中,透射波形的零滞后互相关矩阵设计用于期望的发射波束图案和空间歧义函数。将发送的波形从该矩阵合成,经过某些约束。最近,建李等人。 [1]将合成问题作为多步优,并概述了作为循环算法的迭代算法,用于实现优化。开发用于实现多步优化的MATLAB代码是非微不足道的,并且呼叫重大努力。在本文中,我们在一些细节中介绍了迭代算法的步骤,并说明了通过一些示例从我们的代码获得的结果。虽然合成问题来自MIMO雷达应用,但算法可以被认为是通用的。

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