In this paper, we consider the channel estimation
problem in Millimeter wave (mmWave) wireless systems with
large antenna arrays. By exploiting the inherent sparse nature of
the mmWave channel, we develop a novel rate-adaptive channel
estimation (RACE) algorithm, which can adaptively adjust the
number of required channel measurements based on an expected
probability of estimation error (PEE).
在航電系統維護過程中，為解決定位故障的效率和降低維修成本等問題，提出了基于ICD（Interface Control Document，接口控制文件）的1553B總線的信息監控系統模型。該系統運用數據采集卡對總線中傳輸的信號有無失真、偏差等電氣特性進行檢測，并使用1553B通訊卡通過測控軟件LabWindows/CVI編程與ICD數據庫的動態鏈接，實現總線信息的解析和故障的判斷。與傳統的維護過程相比，這種模型能夠從信號的電氣特性以及信息的解析等全方位的去檢測判斷故障的來源，并且能夠廣泛在其他1553B總線系統內擴展應用。驗證表明該監控系統可以對總線信息進行快速有效地監測分析，能滿足應用需求。
Abstract: In the process of avionics system maintenance， to solve the problems such as improving the efficiency of fast orientation to troubles and reducing maintenance cost， system of 1553B bus information monitor model based on ICD was proposed. The system observed whether the data which transmitted on the bus appear distortion and deviation by using data acquisition card. And using 1553B communication card programming of the measure software LabWindows/CVI and the dynamic linking of ICD database， message analysis and fault estimation could be realized. Compared with traditional maintenance， this model can all-dimensionally detect and analyze the source of faults from both electrical characteristics of the signal and message analysis， and it can be widely applied in the other 1553B system. Experiment shown that this monitor system can effectively detect and analyze the bus message and can meet the application requirements.
為了提高直接轉矩控制（DTC）系統定子磁鏈估計精度，降低電流、電壓測量的隨機誤差，提出了一種基于擴展卡爾曼濾波（EKF）實現異步電機轉子位置和速度估計的方法。擴展卡爾曼濾波器是建立在基于旋轉坐標系下由定子電流、電壓、轉子轉速和其它電機參量所構成的電機模型上，將定子電流、定子磁鏈、轉速和轉子角位置作為狀態變量，定子電壓為輸入變量，定子電流為輸出變量，通過對磁鏈和轉速的閉環控制提高定子磁鏈的估計精度，實現了異步電機的無速度傳感器直接轉矩控制策略，仿真結果驗證了該方法的可行性,提高了直接轉矩的控制性能。
Abstract:
In order to improve the Direct Torque Control（DTC） system of stator flux estimation accuracy and reduce the current， voltage measurement of random error， a novel method to estimate the speed and rotor position of asynchronous motor based on extended Kalman filter was introduced. EKF was based on d-p axis motor and other motor parameters （state vector: stator current， stator flux linkage， rotor angular speed and position； input: stator voltage； output: staror current). EKF was designed for stator flux and rotor speed estimation in close-loop control. It can improve the estimated accuracy of stator flux. It is possible to estimate the speed and rotor position and implement asynchronous motor drives without position and speed sensors. The simulation results show it is efficient and improves the control performance.
ABAQUS is a general purpose finite element analysis program which is widely used to analyses mechanical, structure and civil engineering problems. Abaqus has some special feature for analysing fracture mechanics problems, and therefore it is a main tools for the FE-analysis in the Fracture Group at the Mechanical Engineering at Glasgow Universtity. The software which can transfer
data from Abaqus into a Matlab readable environment has been developed as a part of a research program in Constraint estimation in Fracture Mechanics. This research program was funded by a grant from the Defence Research Agency through Prof. J. Sumpter.
This Program Is Designed To Simulate A Spatial Antenna Array
System Working On The MUSIC Algorithm For The Angle Of Arrival estimation
And Null Steering Algorithm For The Weights estimation To The Required
Output Radiation Pattern .
ReBEL is a Matlabtoolkit of functions and scripts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods for
recursive Bayesian estimation and Kalman filtering by Rudolph van der
Merwe and Eric A. Wan. The code is developed and maintained by Rudolph
van der Merwe at the OGI School of Science & Engineering at OHSU
(Oregon Health & Science University).
Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.
