15.07.2014 Views

Conference Program of WCICA 2012

Conference Program of WCICA 2012

Conference Program of WCICA 2012

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

that the highest sample frequency is 10KHz when it works with a SD<br />

card.<br />

◁ PSaB-05<br />

Three-Dimensional Stage Self-Calibration: A General Theory Framework,<br />

pp.4220–4225<br />

Zhu, Yu<br />

Hu, Chuxiong<br />

Hu, Jinchun<br />

Tsinghua Univ.<br />

Tsinghua Univ.<br />

Tsinghua Univ.<br />

In this paper, a general self-calibration theory framework is presented<br />

for three-dimensional precision stages to determine the stage error.<br />

Four measurement views <strong>of</strong> a cubic artifact on the three-dimensional<br />

precision stage are utilized to provide the symmetry, transitivity and<br />

redundance. The first-order components <strong>of</strong> the stage error, i.e., the<br />

nonorthogonality and the scale difference, are determined through the<br />

first three measurement views. And the residual components <strong>of</strong> the<br />

stage error are then figured out by a least-square based calculation<br />

law, which completes the stage error determination. Additionally, the<br />

parasitic errors related to the artifact and the misalignment errors <strong>of</strong> all<br />

measurement views can all be identified through algebraic manipulations.<br />

Computer simulation is finally carried out and the results validate<br />

that the proposed algorithm can accurately realize the stage error. The<br />

proposed scheme actually provides a framework as a principle to solve<br />

the three-dimensional self-calibration problem for practical engineers.<br />

◁ PSaB-06<br />

Coherent integration weak target detection algorithm based on short<br />

time sliding window, pp.4264–4266<br />

Guo, Yunfei<br />

Zhang, Yunlong<br />

Xue, Anke<br />

Hangzhou Dianzi Univ.<br />

Inst. <strong>of</strong> Information & Control<br />

Hangzhou Dianzi Univ.<br />

For the problem <strong>of</strong> weak target detection under lower signal noise ratio<br />

in radar detection system, a key technique is to enhance target echo<br />

energy by long time coherent integration. During the integration period,<br />

the target may migrate across radar range cells with integration time<br />

increasing. Direct coherent integration will lead to echo energy spread<br />

in range cells and deteriorate integration effect. A coherent integration<br />

algorithm based on short time sliding window is proposed in this paper.<br />

It can correct range migration before integration. Radar signal is formed<br />

into a first in first out queue. Then according to constraint condition, the<br />

queens are continually renewed by the sliding window. The queens are<br />

coherent integrated at last. Simulation result shows that the proposed<br />

algorithm can correct range migration efficiently and improve coherent<br />

integration capability.<br />

◁ PSaB-07<br />

Frequency Estimation <strong>of</strong> Multisection Signals with Same Frequency and<br />

Length based on Spectrum Correlation, pp.4283–4286<br />

Shen, Yanlin<br />

Tu, Yaqing<br />

XIAO, WEI<br />

Su, Dan<br />

Logistical Engineering Univ.<br />

lLogistical Engineering Univ.<br />

Logistical Engineering Univ., Chongqing, P.R.C<br />

Logistical Engineering Univ.<br />

Aiming at multisection sinusoidal signals with the same frequency and<br />

length, a frequency estimation algorithm <strong>of</strong> multisection signals with<br />

the same frequency and length based on spectrum correlation is proposed.<br />

It can improve the frequency estimation precision <strong>of</strong> short-time<br />

sinusoidal signal under the condition <strong>of</strong> low SNR. Firstly, generate a<br />

spectrum zoom sequence and calculate the spectra <strong>of</strong> corresponding<br />

frequencies; Secondly, design a phase-difference compensating factor<br />

matrix to overcome phase discontinuity among different sections <strong>of</strong> signals,<br />

and generate a search-frequency array to modify unknown parameters<br />

in the phase-difference compensating factor matrix; Thirdly, adjust<br />

the spectrum zoom sequence corresponding to accumulation spectrum<br />

and calculate the accumulation spectrum; Finally, calculate spectrum<br />

correlation sequence with corrected power spectra and accumulation<br />

spectrum, and search the maxima <strong>of</strong> spectrum correlation sequence<br />

and then its corresponding frequency is the frequency estimation value.<br />

Simulated experiment results demonstrate that the proposed algorithm<br />

has better frequency estimation precision and noise immunity than<br />

existing methods, and significant theoretical and practical value.<br />

◁ PSaB-08<br />

A Dynamometer Design and Analysis for Measurement the Cutting<br />

Forces on Turning Based on Optical Fiber Bragg Grating Sensor,<br />

pp.4287–4290<br />

Liu, Mingyao<br />

Tao, Xiaoliang<br />

Wuhan Univ. <strong>of</strong> Tech.<br />

Wuhan Univ. <strong>of</strong> Tech.<br />

Abstract - The cutting forces generated in metal cutting have a direct<br />

influence on tool wear or failure, quality <strong>of</strong> machined surface and accuracy<br />

<strong>of</strong> the work piece. In this paper, a turning dynamometer that<br />

can measure static and dynamic cutting forces has been designed and<br />

constructed, we put Fiber Bragg Grating sensor into cutting force. In<br />

order to reduce interference <strong>of</strong> the test data, we designed an octagonal<br />

ring as sensitive element. We used strain gauges and Fiber Bragg<br />

Grating sensor to detect surface strain <strong>of</strong> the elastic rings and get different<br />

sensor’s data. Contrast the data to optimization the fiber grating<br />

mounted places. Finally, experiments with different sensors to show<br />

that the Fiber Bragg Grating sensor could be used reliably to measure<br />

cutting forces.<br />

◁ PSaB-09<br />

On Binary Switching Finite Networks, pp.4347–4349<br />

Yu, Tao<br />

Zhou, Xingxing<br />

Xu, Changqing<br />

Zhejiang A&F Univ.<br />

Zhejiang A&F Univ.<br />

Suzhou Univ. <strong>of</strong> Sci. & Tech.; Zhejiang A&F Univ.<br />

We call a finite graph G = (V, E) a binary network if the state set <strong>of</strong><br />

its nodes has only two elements,say, 0 and 1, representing respectively<br />

’OFF’ and ’ON’ state. A switch at node v switches both the state <strong>of</strong> v<br />

and the state <strong>of</strong> each <strong>of</strong> its neighbors. It is shown in [1,5] that given<br />

any intial state <strong>of</strong> a network <strong>of</strong> order n > 3, we can always reach at a<br />

consistant status, i.e., either all the nodes are ON or all are OFF. In this<br />

paper we consider a more general problem: Given a subset S ⊂ V ,<br />

can we reach to a state such that the state <strong>of</strong> each node within S is 1(or<br />

0) while the states <strong>of</strong> nodes outside S is another? We present some<br />

sufficient conditions for some specific S that satisifes this condition.<br />

◁ PSaB-10<br />

A new estimate method for linear constrained systems, pp.4463–4466<br />

Wen, Chuanbo<br />

Cai, Yunze<br />

Xu, Xiaoming<br />

Shanghai Dianji Univ.<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univesity;<br />

This paper deals with the problem <strong>of</strong> optimal filtering for linear discrete<br />

constrained dynamic systems. The constraint matrix and constraint<br />

vector in this system are allowed to vary not only in the value but also<br />

in the dimension. Firstly, the original constrained state is transformed<br />

into a new reduced state model without constraint. Then, the prediction<br />

<strong>of</strong> the reduced state is given by using the least square method. Finally,<br />

the optimal estimate <strong>of</strong> original state is produced by the update process<br />

similar to the Kalman filter. A numerical example is presented to<br />

demonstrate the effectiveness <strong>of</strong> the new method.<br />

◁ PSaB-11<br />

Subscriber Location in CDMA Wireless Networks, pp.4390–4394<br />

Ali, Zahid<br />

Memon, Qurban<br />

KFUPM<br />

UAE Univ.<br />

Location estimation in Wireless networks has become an important feature<br />

for improvement in public safety service. Its potential applications<br />

include location sensitive billing, asset tracking, fraud protection, mobile<br />

yellow pages, fleet management, etc. Several location techniques<br />

using terrestrial wireless network elements and radio signals have been<br />

proposed over the years, but multipath propagation, multiple access interference<br />

(MAI), and non-line-<strong>of</strong>-sight propagation have impeded the<br />

accuracy in mobile station (MS) positioning. Traditional location algorithms<br />

have derived location estimates assuming single user environment.<br />

However this assumption is not correct as measurement bias is<br />

introduced due to MAI. An interference cancellation based delay locked<br />

loop (DLL) for MS delay estimation is proposed in this paper, which is<br />

180

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!