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

机译:从零滞后互相关矩阵合成具有指定约束和功率水平的波形

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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,针对所需的发射波束图和空间模糊度函数,设计了发射波形的零延迟互相关矩阵。受某些约束,要从该矩阵合成发送的波形。最近,Jian Li等人。 [1]将综合问题表述为多步优化,并概述了用于实现优化的迭代算法,称为循环算法。开发用于执行多步优化的MATLAB代码并非易事,这需要大量的精力。在本文中,我们将详细介绍迭代算法的步骤,并通过一些示例说明从我们的代码中获得的结果。尽管综合问题是由MIMO雷达应用引起的,但该算法仍可以视为通用算法。

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