• This thesis studies the feature selection method of HRRP and proposes a RATR method in target subspace based on the analysis of noise-match in HRRP space.

    基于对HRRP空间雷达自动目标识别中冗余噪声匹配的分析,研究了高分辨距离像的特征选择方法,提出了一种基于目标子空间的雷达自动目标识别方法。

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  • This paper proposes an approach to select the dynamical neighborhood for each point while constructing the tangent subspace based on the sampling density and manifold curvature.

    针对流形学习的邻域优化问题,提出一种动态邻域的算法。

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  • As for subspace based MUD, two improved algorithms are shown from the point of view of subspace tracking to solve the problems of slow tracking and unstable performance in traditional methods.

    对于基于子空间的多用户检测算法,本文主要从子空间跟踪角度入手,针对传统方法跟踪速度慢,性能不稳定的问题,提出了两种改进算法。

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  • This paper analyzes the characteristics of the common Narrow Band Interference (NBI). A new approach for NBI suppression is proposed, which uses eigen-subspace based filtering on the echo data of SAR.

    该文分析了常见的窄带干扰(NBI)的特性,并提出了一种基于回波数据特征子空间滤波的干扰抑制方法。

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  • Subspace based State space system identification (4sid) algorithms are new time domain methods for identifying dynamics models of mechanical structures.

    子空间状态空间系统辨识(4sid)方法是近年来出现的一种用于辨识线性振动系统动态特性的时域技术。

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  • By unified signal model of antenna array Multicarrier DS-CDMA system, the subspace-based blind channel estimation is achieved.

    通过在阵列天线多载波ds - CD MA系统下构造统一的信号模型,实现了基于子空间的信道盲估计。

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  • By investigating the code space in frequency domain and the data vector space of the multipath signals, the noise-subspace-based approach is used to perform blind channel estimation.

    通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。

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  • Signal subspace-based high resolution algorithms are usually sensitive to various uncertainties such as locations errors, amplitude and phase errors in the receivers etc.

    基于信号子空间的超分辨方法一般对接收器阵列误差非常敏感。

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  • Due to the performance degradation of subspace-based blind decoding of space-time block codes (STBC) over spatially correlated channels, a revised decoding algorithm was proposed.

    针对空时分组码子空间盲解码算法在空间相关信道下性能下降的问题,提出了一种修正解码算法。

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  • ARMAX model method and subspace-based state space method were used to process the flight flutter test data, and identify the flutter modal parameters of aircraft.

    论文使用了现代参数辨识技术的ARMAX模型递推法和状态子空间辨识法,对飞行颤振试验数据进行处理,辨识飞机的颤振模态参数。

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  • ARMAX model method and subspace-based state space method were used to process the flight flutter test data, and identify the flutter modal parameters of aircraft.

    论文使用了现代参数辨识技术的ARMAX模型递推法和状态子空间辨识法,对飞行颤振试验数据进行处理,辨识飞机的颤振模态参数。

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