超宽带测向系统中,天线体积受限严重影响到系统的测向精度和解模糊能力,且天线阵列的孔径限制着阵列最多能分辨的目标信号个数,而一些优秀的算法如空间平滑算法和旋转不变子空间(estimation of signalparameters via rotational invaria...超宽带测向系统中,天线体积受限严重影响到系统的测向精度和解模糊能力,且天线阵列的孔径限制着阵列最多能分辨的目标信号个数,而一些优秀的算法如空间平滑算法和旋转不变子空间(estimation of signalparameters via rotational invariance technique,ESPRIT)算法损失了天线阵列孔径。针对这些问题,在传统的四阶累积量多重信号分类(multiple signal classification,MUSIC)算法基础上提出了一种改进的算法。该算法根据四阶累积量矩阵构成的规律,去除了原四阶累积量矩阵的数据冗余,有效地减小了运算时间,为其实际应用提供了必要条件。计算机仿真和实测数据仿真的结果表明,本改进算法可以快速地实现虚拟阵列扩展,同时对有色高斯噪声也有一定的抑制作用。展开更多
A joint estimation algorithm of direction of arrival （DOA）, frequency, and polarization, based on fourth-order cumulants and uniform circular array （UCA） of trimmed vector sensors is presented for narrowband non-G...A joint estimation algorithm of direction of arrival （DOA）, frequency, and polarization, based on fourth-order cumulants and uniform circular array （UCA） of trimmed vector sensors is presented for narrowband non-Gaussian signals. The proposed approach, which is suitable for applications in arbitrary Gaussian noise environments, gives a closed-form representation of the estimated parameters, without spectral peak searching. An efficient method is also provided for elimination of cyclic phase ambiguities. Simulations are presented to show the performance of the algorithm.展开更多
Based on fourth-order cumulant and ESPRIT algorithm, a novel joint frequency, two-dimensional angle of arrival (2D AOA) and the polarization estimation method of incoming multiple independent spatial narrow-band non-G...Based on fourth-order cumulant and ESPRIT algorithm, a novel joint frequency, two-dimensional angle of arrival (2D AOA) and the polarization estimation method of incoming multiple independent spatial narrow-band non-Gaussian signals in arbitrary Gaussian noise environment are proposed . The array is composed of crossed dipoles parallel to the coordinate axes. The crossed dipole positions are arbitrarily distributed. Computer simulation confirms its feasibility.展开更多
文摘超宽带测向系统中,天线体积受限严重影响到系统的测向精度和解模糊能力,且天线阵列的孔径限制着阵列最多能分辨的目标信号个数,而一些优秀的算法如空间平滑算法和旋转不变子空间(estimation of signalparameters via rotational invariance technique,ESPRIT)算法损失了天线阵列孔径。针对这些问题,在传统的四阶累积量多重信号分类(multiple signal classification,MUSIC)算法基础上提出了一种改进的算法。该算法根据四阶累积量矩阵构成的规律,去除了原四阶累积量矩阵的数据冗余,有效地减小了运算时间,为其实际应用提供了必要条件。计算机仿真和实测数据仿真的结果表明,本改进算法可以快速地实现虚拟阵列扩展,同时对有色高斯噪声也有一定的抑制作用。
基金This project was supported by the Graduate Innovation Laboratory of Jilin University(502039)Jilin Science Committee of China(20030519)+1 种基金the National Natural Science Foundation of China (69872012)the Foundation of Nanjing Institute of Technology.
文摘A joint estimation algorithm of direction of arrival （DOA）, frequency, and polarization, based on fourth-order cumulants and uniform circular array （UCA） of trimmed vector sensors is presented for narrowband non-Gaussian signals. The proposed approach, which is suitable for applications in arbitrary Gaussian noise environments, gives a closed-form representation of the estimated parameters, without spectral peak searching. An efficient method is also provided for elimination of cyclic phase ambiguities. Simulations are presented to show the performance of the algorithm.
文摘Based on fourth-order cumulant and ESPRIT algorithm, a novel joint frequency, two-dimensional angle of arrival (2D AOA) and the polarization estimation method of incoming multiple independent spatial narrow-band non-Gaussian signals in arbitrary Gaussian noise environment are proposed . The array is composed of crossed dipoles parallel to the coordinate axes. The crossed dipole positions are arbitrarily distributed. Computer simulation confirms its feasibility.
