• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2006년도 하계종합학술대회
• /
• pp.77-78
• /
• 2006

This paper presents a signal quality estimation technique for QAM modulation systems. By making a LUT(Look-up table) putting the number of N enough, we can derive estimated SNR from LUT even though N is small. That is so called MOTM algorithm. In 16-QAM, the distance $d_a$, between adjacent symbols is always invariable, so absolute value of R(the amplitude of signal) minus $d_a$ has a always same signal distribution value. This value does not form a Gaussian shape but, by making a little bit correction, we can make this symmetrical. So, from the received symbol value, by using LUT we can easily derive the estimated SNR. By considering this, we introduce a signal quality estimation technique for QAM schemes. This proposed method can be applicable to high order modulation schemes and wide range of signal to noise ratio.

• 한국음향학회지
• /
• 제20권2호
• /
• pp.52-57
• /
• 2001

수중에서 음원까지의 거리를 추정하는 방법들이 연구되어 왔다. 그 가운데 초점 빔 형성기를 사용한 거리 추정 기법은 낮은 신호대 잡음비를 갖는 환경에서 우수한 성능을 갖는 것으고 알려져 있으나 다중 음원 환경에서는 성능 저하가 초래된다. 이에 본 논문에서는 두 개의 초점 빔 형성기를 사용하여 거리를 추정하는 방법을 제안하였다. 또한 표본화 주파수가 낮으면 초점 빔 형성기를 정확하게 원하는 위치로 지향할 수 없기 때문에 빔 패턴의 왜곡이 발생하게 되고, 그 결과 거리 추정 기법의 성능 저하를 초래한다. 그리고 이 논문에서는 표본화 주파수가 초점 빔 형성기를 이용하는 거리 추정 기법에 미치는 영향에 대해서도 고찰하도록 한다. 시뮬레이션을 통해 연구된 내용들을 검증하였다.

• 한국음향학회지
• /
• 제32권3호
• /
• pp.247-251
• /
• 2013

본 논문은 선형 선배열에서 Matrix Pencil(MP) 기법을 이용해 별도의 탐색과정 없이 근거리 음원의 방위를 추정하는 기법을 제안한다. 제안한 기법은 선형 선배열에서 근거리 음원이 가지는 대칭성을 이용하여 조향 벡터를 거리 독립적인 항으로 변화 시킨 후 MP 기법을 적용한다. 각 음원의 거리는 앞서 추정된 방위 정보를 이용하여 음원 수만큼의 1차원 MUSIC 기법을 적용하여 추정된다. 제안된 알고리즘은 시뮬레이션을 통해 성능 검증을 하였다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
• /
• 제53권11호
• /
• pp.664-670
• /
• 2004

This paper presents a new velocity estimation strategy of a non-salient permanent magnet synchronous motor (PMSM) drive without high frequency signal injection or special PWM pattern. This approach is based on the d-axis current regulator output voltage of the drive system that has the information of rotor position error. The rotor velocity can be estimated through a rotor position tracking PI controller that controls the position error to zero. For zero and low speed operation, PI controller gains of rotor position tracking controller have a variable structure according to the estimated rotor velocity. In order to boost the bandwidth of PI controller around zero speed, a loop recovery technique is applied to the control system. The proposed method only requires the flux linkage of permanent magnet and is insensitive to the parameter estimation error and variation. The designers can easily determine the possible operating range with a desired bandwidth and perform the vector control even at low speeds. The experimental results show the satisfactory operation of the proposed sensorless algorithm under rated load conditions.

• Journal of Power Electronics
• /
• 제12권5호
• /
• pp.778-786
• /
• 2012

In this paper, a novel scheme for the condition monitoring of lithium polymer batteries is proposed, based on the sigma-point Kalman filter (SPKF) theory. For this, a runtime-based battery model is derived, from which the state-of-charge (SOC) and the capacity of the battery are accurately predicted. By considering the variation of the serial ohmic resistance ($R_o$) in this model, the estimation performance is improved. Furthermore, with the SPKF, the effects of the sensing noise and disturbance can be compensated and the estimation error due to linearization of the nonlinear battery model is decreased. The effectiveness of the proposed method is verified by Matlab/Simulink simulation and experimental results. The results have shown that in the range of a SOC that is higher than 40%, the estimation error is about 1.2% in the simulation and 1.5% in the experiment. In addition, the convergence time in the SPKF algorithm can be as fast as 300 s.

• 한국군사과학기술학회지
• /
• 제14권6호
• /
• pp.993-1001
• /
• 2011

Unmanned ground vehicle for facility protection mostly uses model of territory for autonomous navigation. However, modeling of territory using several sensors is highly time consuming and sometimes inefficient for road application. Therefore, an estimation of drivable path based on features of road is required for high speed autonomous navigation on road. In this paper, an estimation method of drivable path using camera and 2D laser rangefinder is proposed. First, a vanishing point is estimated based on image data from CCD camera. Second, a road width is estimated based on range data from 2D laser rangefinder. Finally, the drivable path is estimated by fusing the vanishing point and the road width. The proposed method is tested on both well-structured road and unpaved road like cross-country situation.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2010년도 춘계학술대회
• /
• pp.668-670
• /
• 2010

주파수 변조 방식의 연속 파형을 사용하는 레이다 시스템에서는 이동 목표물 등의 원격탐지를 위하여 각 거리에 따른 변이 주파수 및 추가적인 도플러 스펙트럼의 추정이 필요하다. 그러나 이러한 기저대역 또는 중간주파수 대역의 스펙트럼 추정은 주로 FFT 기법에 의하여 이루어지며 목표물에 대한 수신신호 시간이 비교적 짧은 경우 클러터 등의 강력한 간섭신호의 부엽이 인접 도플러 필터에 누설되어 탐지하고자 하는 신호가 가려지는 문제가 나타나게 된다. 따라서 본 논문에서는 약간의 처리손실을 감수하더라도 부엽의 절대적인 크기를 낮출 수 있는 효과적인 데이터 윈도잉 기법 및 그 결과들을 고찰하고 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권6호
• /
• pp.3182-3198
• /
• 2019

Vision-based Human Pose Estimation has been considered as one of challenging research subjects due to problems including confounding background clutter, diversity of human appearances and illumination changes in scenes. To tackle these problems, we propose to use a new multi-stage convolution machine for estimating human pose. To provide better heatmap prediction of body joints, the proposed machine repeatedly produces multiple predictions according to stages with receptive field large enough for learning the long-range spatial relationship. And stages are composed of various modules according to their strategic purposes. Pyramid stacking module and dilation module are used to handle problem of human pose at multiple scales. Their multi-scale information from different receptive fields are fused with concatenation, which can catch more contextual information from different features. And spatial and channel information of a given input are converted to gating factors by squeezing the feature maps to a single numeric value based on its importance in order to give each of the network channels different weights. Compared with other ConvNet-based architectures, we demonstrated that our proposed architecture achieved higher accuracy on experiments using standard benchmarks of LSP and MPII pose datasets.

• Nuclear Engineering and Technology
• /
• 제54권1호
• /
• pp.193-206
• /
• 2022

Several algorithms for nuclear power plant (NPP) break event detection, isolation, localization, and size estimation are proposed. A break event can be promptly detected and isolated after its occurrence by simultaneously monitoring changes in the sensing readings and by employing an interquartile range-based isolation scheme. By considering the multi-sensor data block of a break to be rank-one, it can be located as the position whose lead field vector is most orthogonal to the noise subspace of that data block using the Multiple Signal Classification (MUSIC) algorithm. Owing to the flexibility of deep neural networks in selecting the best regression model for the available data, we can estimate the break size using multiple-sensor recordings of the break regardless of the sensor types. The efficacy of the proposed algorithms was evaluated using the data generated by Maanshan NPP simulator. The experimental results demonstrated that the MUSIC method could distinguish two near breaks. However, if the two breaks were close and of small sizes, the MUSIC method might wrongly locate them. The break sizes estimated by the proposed deep learning model were close to their actual values, but relative errors of more than 8% were seen while estimating small breaks' sizes.

• 신재생에너지
• /
• 제19권2호
• /
• pp.23-30
• /
• 2023

Vortex-induced vibrations are a type of flow-induced vibrations caused by alternating lift forces. With increasing demand for renewable energy, the application of vortex-induced vibrations to renewable energy has been widely studied. Vortex-induced vibrations for aquatic clean energy (VIVACE) converter is a renewable energy device that generates electricity from rivers or oceans using vortex-induced vibrations. To increase the design life and power harnessing capacity of the VIVACE converter, the estimation of fluid forces due to vortex-induced vibrations is essential. Herein, vortex-induced vibrations were experimentally tested, and their amplitude and frequency response were measured. The amplitude results showed four different branches: initial branch, upper branch, lower branch, and desynchronization range. According to the fluid force coefficient results, the maximum lift coefficient occurred at the upper branch. Additionally, a mathematical model is proposed to estimate fluid forces due to vortex-induced vibrations without using measurement devices. This mathematical model enables the estimation of fluid force coefficients and phase lag using amplitude and frequency response of vortex-induced vibrations.