本文将基于APEX算法的子空间跟踪方法引入辨识算法。
In this paper, a subspace tracking approach based on APEX algorithm is applied in state space model identification.
提出了一种新的基于子空间跟踪的自适应阵ds - CD MA多用户干扰抑制接收机。
It brings up a new DS-CDMA multiuser interference suppression receiver with a subspace tracking adaptive array.
基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
文中使用了改进的子空间跟踪信道估计算法，并仿真了不同信道估计方法、合并方法下系统的误比特率性能。
We use a modified subspace tracking channel estimation algorithm and simulate the system BER performance under different channel estimation approaches and combining methods.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
提出了一种新的基于子空间跟踪(SP)的自适应多用户检测算法，不需计算初始矩阵，并且检测性能接近高复杂度的经典算法。
A new adaptive multi-user detector based on subspace tracking (sp) was proposed, which doesn't need initial matrix and has similar performance as classic algorithm with large computational complexity.
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。
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.
总结分析了大气干扰、天气因素和平台的抖动或振动对通信的影响，提出了螺旋式扫描子空间的动态捕获、瞄准、跟踪方案。
The paper also summarizes and analyses how the atmosphere, weather and platform's sway or vibration affect the communication, presents a dynamic acquisiton, pointing and tracking scheme .
论文从实际应用的角度出发，全面论述了子空间类多目标方位估计和跟踪算法的理论和方法。
Aiming at the applications in engineering, the principles of subspace algorithms about the DOAs estimating and tracking are discussed comprehensively in this dissertation.
论文从实际应用的角度出发，全面论述了子空间类多目标方位估计和跟踪算法的理论和方法。
Aiming at the applications in engineering, the principles of subspace algorithms about the DOAs estimating and tracking are discussed comprehensively in this dissertation.
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