Fast computations of constant envelope waveforms for MIMO radar transmit beampattern

Sajid Ahmed, J. Thompson, B. Mulgrew, Y. Pétillot
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引用次数: 1

Abstract

Designing transmit beampattern with MIMO radars generally requires the waveforms to be able to have arbitrary cross-correlation values. In contrast to the available algorithms, the proposed technique provides a closed-form solution for the synthesis of covariance matrix, R, of the waveforms to obtain desired beampattern match. To synthesis R the constraints and redundant information in R are leveraged, which convert the constrained problem into un-constrained problem. Next a novel method for generating the constant-envelope (CE) waveforms to realise the synthesised covariance matrix, R, is proposed. This method also yields a closed-form solution and choose the symbols from the binary-phase shift-keying (BPSK). Here, Gaussian random-variables (RV's) are mapped onto the CE RV's by a memoryless non-linear transformation, which converts the problem of finding the non-Gaussian RV's to realise a given covariance matrix R into finding the Gaussian RV's to realise covariance matrix Rg. Simulation results are presented to demonstrate the effectiveness of both methodologies.
MIMO雷达发射波束方向图恒定包络波形的快速计算
用MIMO雷达设计发射波束图通常要求波形能够具有任意的互相关值。与现有的算法相比,该技术为波形的协方差矩阵R的合成提供了一个封闭的解决方案,以获得所需的波束方向图匹配。为了综合R,利用R中的约束和冗余信息,将有约束问题转化为无约束问题。其次,提出了一种生成恒定包络(CE)波形以实现合成协方差矩阵R的新方法。该方法还产生了一个封闭形式的解,并从二相移键控(BPSK)中选择了符号。在这里,通过无记忆非线性变换将高斯随机变量映射到CE随机变量上,将查找非高斯随机变量以实现给定协方差矩阵R的问题转换为查找高斯随机变量以实现协方差矩阵Rg的问题。仿真结果验证了两种方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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