Ieee Transactions on Signal Processing 1 Fourier-based Transmit Beampattern Design Using Mimo Radar Ieee Transactions on Signal Processing

Ieee Transactions on Signal Processing 1 Fourier-based Transmit Beampattern Design Using Mimo Radar Ieee Transactions on Signal Processing
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发表时间:
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影响因子:
1.7
通讯作者:
J. Lipor;Sajid Ahmed;Mohamed-Slim Alouini
J. Lipor;Sajid Ahmed;Mohamed-Slim Alouini
中科院分区:
计算机科学4区
文献类型:
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作者:
J. Lipor;Sajid Ahmed;Mohamed-Slim Alouini

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在多输入多输出(MIMO)雷达设置中,通常希望仅将功率传输到由波束方向图定义的给定位置或位置集。发射波形设计是近年来备受关注的课题,它既涉及信号协方差矩阵R的合成,也涉及实际波形的合成。目前的方法包括两步过程,即通过迭代解设计R,然后使用R来生成满足诸如具有恒定包络或从有限字母表中提取等实际约束的波形。本文提出了一种利用离散傅里叶变换(DFT)系数和Toeplitz矩阵设计均匀线阵R的闭合形式方法。所得到的协方差矩阵满足半正定性和均匀基元功率约束等实际约束条件,并且具有与迭代方法相似的性能,而迭代方法需要更多的计算时间。接下来,提出了一种发射体系结构,该发射体系结构利用离散DFT值的频率的正交性来发射来自每个天线的正交信号之和。所得到的波形提供了比当前方法更低的均方误差,而计算成本要低得多,并且模拟的检测场景展示了所获得的性能优势。波束方向图;离散傅里叶变换;多输入多输出雷达;波形设计。
In multiple-input multiple-output (MIMO) radar settings, it is often desirable to transmit power only to a given location or set of locations defined by a beampattern. Transmit waveform design is a topic that has received much attention recently, involving synthesis of both the signal covariance matrix, R, as well as the actual waveforms. Current methods involve a two-step process of designing R via iterative solutions and then using R to generate waveforms that fulfill practical constraints such as having a constant-envelope or drawing from a finite alphabet. In this paper, a closed-form method to design R for a uniform linear array is proposed that utilizes the discrete Fourier transform (DFT) coefficients and Toeplitz matrices. The resulting covariance matrix fulfills the practical constraints such as positive semidefiniteness and the uniform elemental power constraint and provides performance similar to that of iterative methods, which require a much greater computation time. Next, a transmit architecture is presented that exploits the orthogonality of frequencies at discrete DFT values to transmit a sum of orthogonal signals from each antenna. The resulting waveforms provide a lower mean-square error than current methods at a much lower computational cost, and a simulated detection scenario demonstrates the performance advantages achieved. Beampattern, discrete Fourier transform (DFT), multiple-input-multiple-output (MIMO) radar, wave-form design.