针对现有基于干扰加噪声协方差矩阵(Interference plus Noise Covariance Matrix,INCM)重建的自适应波束形成算法在非均匀噪声的情形中对于噪声功率估计不够准确的问题。本文在噪声非均匀的情况下,提出了一种基于最大阵元间距约束(Maxim...针对现有基于干扰加噪声协方差矩阵(Interference plus Noise Covariance Matrix,INCM)重建的自适应波束形成算法在非均匀噪声的情形中对于噪声功率估计不够准确的问题。本文在噪声非均匀的情况下,提出了一种基于最大阵元间距约束(Maximum Inter-element Spacing Constraint,MISC)阵列的自适应波束形成算法。通过矩阵补全技术,估计无噪声协方差矩阵和非均匀噪声协方差矩阵,然后利用无噪声协方差矩阵估计入射信号的波达方向(Direction of Arrival,DOA)与功率,最后重建INCM。得益于矩阵补全技术对非均匀噪声功率的准确估计和MISC阵列虚拟差分优化阵提供的高自由度,本文算法能够在非均匀噪声下更加准确地重建INCM。仿真实验结果验证了所提算法的有效性。展开更多
This paper examines the direction of arrival(DOA)estimation for polarized signals impinging on a sparse vector sensor array which is based on the maximum interelement spacing constraint(MISC).The vector array effectiv...This paper examines the direction of arrival(DOA)estimation for polarized signals impinging on a sparse vector sensor array which is based on the maximum interelement spacing constraint(MISC).The vector array effectively utilizes the polarization domain information of incident signals,and the quaternion model is adopted for signals polarization characteristic maintenance and computational burden reduction.The features of MISC arrays are crucial to the mutual coupling effects reduction and higher degrees of freedom(DOFs).The quaternion data model based on vector MISC arrays is established,which extends the scalar MISC array into the vector MISC array.Based on the model,a quaternion multiple signal classification(MUSIC)algorithm based on vector MISC arrays is proposed for DOA estimation.The algorithm combines the advantages of the quaternion model and the vector MISC array to enhance the DOA estimation performance.Analytical simulations are performed to certify the capability of the algorithm.展开更多
Wireless application protocol （WAP） have become the available method for subscribers to access mobile Internet through mobile terminal, regardless of the location and time. In this article, a logical architecture of...Wireless application protocol （WAP） have become the available method for subscribers to access mobile Internet through mobile terminal, regardless of the location and time. In this article, a logical architecture of WAP service system based on mobile information service centre （MISC） [1, 2] platform is discussed. The whole system is designed and developed on Java 2 enterprise edition [3] （J2EE） architecture and deployed on BEA WebLogic Server [3, 4]. Furthermore, a series of various WAP services based on this system have been implemented, which validates the practice value of this system. This optimal scheme presented in this article will reduce the development complexity, deployment risk, and so on.展开更多
文摘针对现有基于干扰加噪声协方差矩阵(Interference plus Noise Covariance Matrix,INCM)重建的自适应波束形成算法在非均匀噪声的情形中对于噪声功率估计不够准确的问题。本文在噪声非均匀的情况下,提出了一种基于最大阵元间距约束(Maximum Inter-element Spacing Constraint,MISC)阵列的自适应波束形成算法。通过矩阵补全技术,估计无噪声协方差矩阵和非均匀噪声协方差矩阵,然后利用无噪声协方差矩阵估计入射信号的波达方向(Direction of Arrival,DOA)与功率,最后重建INCM。得益于矩阵补全技术对非均匀噪声功率的准确估计和MISC阵列虚拟差分优化阵提供的高自由度,本文算法能够在非均匀噪声下更加准确地重建INCM。仿真实验结果验证了所提算法的有效性。
基金supported by the National Natural Science Foundation of China(62031015).
文摘This paper examines the direction of arrival(DOA)estimation for polarized signals impinging on a sparse vector sensor array which is based on the maximum interelement spacing constraint(MISC).The vector array effectively utilizes the polarization domain information of incident signals,and the quaternion model is adopted for signals polarization characteristic maintenance and computational burden reduction.The features of MISC arrays are crucial to the mutual coupling effects reduction and higher degrees of freedom(DOFs).The quaternion data model based on vector MISC arrays is established,which extends the scalar MISC array into the vector MISC array.Based on the model,a quaternion multiple signal classification(MUSIC)algorithm based on vector MISC arrays is proposed for DOA estimation.The algorithm combines the advantages of the quaternion model and the vector MISC array to enhance the DOA estimation performance.Analytical simulations are performed to certify the capability of the algorithm.
文摘Wireless application protocol （WAP） have become the available method for subscribers to access mobile Internet through mobile terminal, regardless of the location and time. In this article, a logical architecture of WAP service system based on mobile information service centre （MISC） [1, 2] platform is discussed. The whole system is designed and developed on Java 2 enterprise edition [3] （J2EE） architecture and deployed on BEA WebLogic Server [3, 4]. Furthermore, a series of various WAP services based on this system have been implemented, which validates the practice value of this system. This optimal scheme presented in this article will reduce the development complexity, deployment risk, and so on.
