• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.1
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• pp.25-32
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• 2017

Most of weapon systems use aided navigation system which integrates inertial navigation and aiding sensors to compensate the INS errors increasing with the passage of time. Various aid sensors can be applied such as Global Navigation Satellite System (GNSS), radar, barometer, etc., but there might exist time delay caused by signal processing or transferring aid information. This time delay leads out-of-sequence measurements (OOSM) systems. Previously, optimal and suboptimal measurment update method for OOSM systems, where the time delay length are known, are proposed. However, previous algorithm does not guarantee the positive definite property of covariance matrix. In order to improve numerical stability for aided navigation using delayed-measurement, this paper proposes a new measurement covariance update algorithm be similar to Joseph-form in Kalman filter. Futhermore, we propose how to implement it in indirect feedback Kalman filter structure, which is commonly used in aided navigation systems, for time-delayed measurement systems. Simulation and vehicle test results show effectiveness of a proposed algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12A
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• pp.2015-2024
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• 1999

Presented in this paper are a new complex-umber filter architecture, which is suitable for an efficient implementation of baseband signal processing of digital communication systems, and a chip-set design of adaptive decision-feedback equalizer (ADFE) employing the proposed structure. The basic concept behind the approach proposed in this paper is to apply redundant binary (RB) arithmetic instead of conventional 2’s complement arithmetic in order to achieve an efficient realization of complex-number multiplication and accumulation. With the proposed way, an N-tap complex-number filter can be realized using 2N RB multipliers and 2N-2 RB adders, and each filter tap has its critical delay of $T_{m.RB}+T_{a.RB}$ (where $T_{m.RB}, T_{a.RB}$are delays of a RB multiplier and a RB adder, respectively), making the filter structure simple, as well as resulting in enhanced speed by means of reduced arithmetic operations. To demonstrate the proposed idea, a prototype ADFE chip-set, FFEM (Feed-Forward Equalizer Module) and DFEM (Decision-Feedback Equalizer Module) that can be cascaded to implement longer filter taps, has been designed. Each module is composed of two complex-number filter taps with their LMS coefficient update circuits, and contains about 26,000 gates. The chip-set was modeled and verified using COSSAP and VHDL, and synthesized using 0.8- μm SOG (Sea-Of-Gate) cell library.

• Proceedings of the Membrane Society of Korea Conference
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• 1993.10a
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• pp.40-41
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• 1993

생물 ㅏ반응기의 생산성을 높이기 위해서는 반응기내의 미생물 농도를 높이는 것이 필요하다. 미생물 농도를 높이기 위한 한 방법으로써 막을 이용한 미생물 재순환에 대한 많은 연구가 수행되어 왔다. 이러한 연구들은 발효조 밖에서 막을 이용하여 미생물을 분리하여 다시 발효조 내로 순환시키는 방법이 주를 이루어 왔으나 이들은 공정이 복잡하고 고분자 합성막을 이용한 경우 고온 멸균의 어려움이 있는등 산업화하는데 여러가지 문제점을 가지고 있었다.

• Proceedings of the Membrane Society of Korea Conference
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• 1991.04a
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• pp.19-22
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• 1991

생물 반응기내에 미생물 농도를 높이기 위한 한 방법으로써 막을 이용한 미생물 재순환에 대한 연구가 이루어져 왔다. 이러한 연구들은 발효조 밖에서 막을 이용하여 미생물을 분리하여 다시 발효조 내로 순환시키는 방법이 주를 이루었으나 이들은 공정이 복잡하고 고분자 합성막을 이용한 경우 고온 멸균의 어려움 등 산업화하는데 여러가지 문제점을 가지고 있었다.

• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.421-424
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• 2008

In torque transmission system, we must suppressed vibration for Accuracy characteristic response of motor, Therefore, vibration suppression factor is very important motor control. To suppress vibration, a various control method has been proposed. Specially, one method of vibration suppression used disturbance observer filter. This method is torsion torque passing disturbance observer filter. By the estimated torsion torque feedback, vibration can be suppressed. The CDM(coefficient diagram method) is used to design the filter and Proportional controller. But using coefficient diagram method, not adapted controller parameter in disturbance. For this solution, we used fuzzy controller for auto tuning controller parameter. We proved this approach is confirmed by simulation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.1
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• pp.57-65
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• 2017

This paper presented a method of designing low-power feedback active noise control filter optimized for headphones/earphones. Using constrained optimization, we obtained a high order FIR noise control filter to ensure reasonable noise attenuation performance at high sampling frequency environment. Then using infinite impulse response (IIR) approximation method called Balanced Model Truncation (BMT), we obtained a low order IIR noise control filter suitable for low-power digital signal processing system like headphones/earphones. For further performance improvement, we utilized frequency warping method so that we could obtain more accurately approximated IIR filter and we ensured system stability by reconstructing the low order IIR filter in form of cascaded second order IIR filters. ANC simulation with white noise and stability test verified that the proposed algorithm had superior attenuation performance and better robustness compared to the conventional algorithm.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.8
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• pp.780-788
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• 2006

This paper deals with INS/GPS tightly coupled integration algorithms using extend Kalman filter (EKF) and unscented Kalman filter (UKF). In the tightly coupled approach, nonlinear pseudorange measurement models are used for the INS/GPS integration Kalman filter. Usually, an EKF is applied for this task, but it may diverge due to poor functional linearization of the nonlinear measurement. The UKF approximates a distribution about the mean using a set of calculated sigma points and achieves an accurate approximation to at least second-order. We introduce the generalized scaled unscented transformation which modifies the sigma points themselves rather than the nonlinear transformation. The generalized scaled method is used to transform the pseudo range measurement of the tightly coupled approach. To compare the performance of the EKF- and UKF-based tightly coupled approach, real van test and simulation have been carried out with feedforward and feedback indirect Kalman filter forms. The results show that the UKF and EKF have an identical performance in case of the feedback filter form, but the superiority of the UKF is demonstrated in case of the feedforward filer form.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.366-371
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• 2008

In this paper, we suggest a haptic interface and a framework of interaction with haptic feedback based Windows graphical user interface (GUI) in a computing device with touch screen. The events that occur during a user interacts with Windows interfaces through a touch screen are filtered out by the Windows Interface Message Filter (WIMF) and converted into appropriate haptic feedback information by the Haptic Information Provider (HIP). The haptic information are conveyed to users through a stylus-like haptic interface interacting with a touch screen. Major Windows interaction schemes including button click, menu selection/pop-up, window selection/movement, icon selection/drag & drop and scroll have been implemented and user tests show the improved usability since the haptic feedback helps intuition and precise manipulation.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.3-5
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• 2007

This paper presents decision feedback equalizers using a recurrent neural network trained algorithm using extended Kalman filter(EKF) and sigma-point Kalman filter(SPKF). EKF is propagated, analytically through the first-order linearization of the nonlinear system. This can introduce large errors in the true posterior mean and covariance of the Gaussian random variable. The SPKF addresses this problem by using a deterministic sampling approach. The features of the proposed recurrent neural equalizer And we investigate the bit error rate(BER) between EKF and SPKF.

• ETRI Journal
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• v.29 no.2
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• pp.212-218
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• 2007

A novel low-voltage CMOS current feedback operational amplifier (CFOA) is presented. This realization nearly allows rail-to-rail input/output operations. Also, it provides high driving current capabilities. The CFOA operates at supply voltages of ${\pm}0.75V$ with a total standby current of 304 ${\mu}A$. The circuit exhibits a bandwidth better than 120 MHz and a current drive capability of ${\pm}1$ mA. An application of the CFOA to realize a new all-pass filter is given. PSpice simulation results using 0.25 ${\mu}m$ CMOS technology parameters for the proposed CFOA and its application are given.