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A Multi-User MIMO Downlink Receiver and Quantizer Design Based on SINR Optimization
Hyukmin Son,Seonghyun Kim,Sanghoon Lee IEEE 2012 IEEE TRANSACTIONS ON COMMUNICATIONS Vol.60 No.2
<P>In a quantization based multiuser multiple-input/multiple-output (MU-MIMO) broadcast channel, the effective channel gain (i.e., the norm of a channel vector obtained from the receive combiner) needs to be considered in addition to a reduction of quantization errors for maximizing the signal-to-interference plus noise ratio (SINR). In this work, we prove that the effective channel gains in the space limited by an N_R x M_T MIMO channel form a min(M_T,N_R)-dimensional ellipsoid in the channel space. Utilizing the geometric proof, the achievable effective channel gain is derived as a function of its direction for a given MIMO channel. Based on the derivation, we finally propose a quantization vector selection criterion and an optimal receive combiner to maximize the SINR. The proposed maximum SINR based combining (MSC) is proven to be a better solution for maximizing the SINR compared to quantization based combining (QBC) and maximum gain based combining (MGC), each of which attempts to minimize quantization errors and maximize the effective channel gain.</P>
Ship Detection Using Edge-Based Segmentation and Histogram of Oriented Gradient with Ship Size Ratio
Hyukmin Eum,Jaeyun Bae,Changyong Yoon,Euntai Kim 한국지능시스템학회 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.4
In this paper, a ship detection method is proposed; this method uses edge-based segmentation and histogram of oriented gradient (HOG) with the ship size ratio. The proposed method can prevent a marine collision accident by detecting ships at close range. Furthermore, unlike radar, the method can detect ships that have small size and absorb radio waves because it involves the use of a vision-based system. This system performs three operations. First, the foreground is separated from the background and candidates are detected using Sobel edge detection and morphological operations in the edge-based segmentation part. Second, features are extracted by employing HOG descriptors with the ship size ratio from the detected candidate. Finally, a support vector machine (SVM) verifies whether the candidates are ships. The performance of these methods is demonstrated by comparing their results with the results of other segmentation methods using eight-fold cross validation for the experimental results.
Maximum SINR-Based Receive Combiner for Cognitive MU-MIMO Systems
Hyukmin Son,Seonghyun Kim,Sanghoon Lee IEEE 2015 IEEE Transactions on Vehicular Technology VT Vol.64 No.9
<P>In this correspondence, we seek to maximize the signal-to-interference-plus-noise ratio (SINR) of cognitive users (CUs) by designing an optimal receive combiner (ORC), taking into account interference from the primary base station (PBS) to CUs [inter-PBS interference (IPI)], multiuser interference (MUI) among CUs, and desired channel gains. By employing the Rayleigh-Ritz quotient result, we formulate an optimal receiver design and then determine the ORC by solving tfshe derived standard eigenvalue problem. The ORCs are derived as closed forms according to the presence or absence of interference beam information at each CU. When the interference beam information is available, the maximum SINR is given as the largest eigenvalue of the received SINR. In the absence of interference beam information, the ORC based on prediction is proposed based on the prediction of the worst IPI and MUI directions and asymptotically analyzed in terms of the number of transmit antennas. Simulation results demonstrate that the ORC maximizes the sum rate of the cognitive multiuser multiple-input/multiple-output system compared with the reference receive combiners.</P>
Iterative Best Beam Selection for Random Unitary Beamforming
Hyukmin Son,Sanghoon Lee IEEE 2011 IEEE TRANSACTIONS ON COMMUNICATIONS Vol.59 No.4
<P>Due to multi-user diversity, the performance of a random unitary beamforming (RUB) can be improved upon in proportion to the number of users at the expense of an increase in feedback. It is essential to identify a mechanism to determine a set of orthonormal beams for improving the channel capacity. This paper proposes a unique scheme, named iterative best beam selection-based RUB (I-RUB), in which the base station selects the best beamforming vectors from unitary matrices generated by the proposed iterative algorithm. Using the selected beamforming vector at each stage, the beam set can ultimately be constructed for high sum-rate capacity of downlink, which leads to a reduction in feedback compared to those of other RUB schemes based on the beam set selection.</P>
승강기용 냉각장치의 에너지 절감을 위한 사람 검출과 퍼지 온도 제어 시스템
음혁민(Hyukmin Eum),장석윤(Sukyoon Jang),이희진(Heejin Lee),박민용(Mignon Park),윤창용(Changyong Yoon) 한국지능시스템학회 2015 한국지능시스템학회논문지 Vol.25 No.2
본 논문에서는 승강기용 냉각장치의 에너지 절감을 위한 사람 검출과 퍼지 온도 제어 시스템을 제안한다. 기존의 냉매를 사용하는 냉각장치의 문제점들을 개선하기 위해 사람 검출과 퍼지 온도 제어 시스템으로 열전냉각장치를 구동시켜 에너지 절감을 하고 자동적으로 효율적인 온도 관리를 한다. 제안된 시스템은 사람 검출을 통해 승강기 탑승 인원수를 확인하고 나서 퍼지 시스템에서 탑승 인원수와 계절 평균 기온을 기반으로 온도 제어를 한다. 사람 검출 방법은 승강기에서 조감도 카메라를 기반으로 사람의 머리 부분을 특징으로 사용하여 탑승 인원수를 검지한다. 퍼지 시스템은 look-up table 방법으로서 검지된 인원수와 기온을 고려하여 승강기의 내부 온도를 결정한다. 제안된 시스템은 사람 검출과 온도 제어를 통해 냉각장치의 에너지를 절감시킨다. 실험을 통해 에너지 절감을 확인하고 제안된 시스템의 성능을 검증한다. In this paper, we propose human detection and fuzzy temperature control system for energy reduction of cooling device in elevator. In order to improve problems of existing cooling device using the refrigerant, energy reduction and efficient management are continuously achieved because of operation of thermoelectric cooling device using the human detection and fuzzy temperature control system. The proposed system confirms the number of passengers in elevator and temperature is then controlled by those numbers and an average temperature for the season in fuzzy system. The human detection method scans the number of passengers using a head part as a feature based on bird"s-eye view camera in elevator. The fuzzy system determines elevator internal temperature considering atmospheric temperature and the scanned passenger numbers as a look-up table. The proposed system reduces energy of the cooling device through the human detection and temperature control. In experiment, energy reduction is confirmed and the performance of the proposed system is verified.
Ship Detection Using Edge-Based Segmentation and Histogram of Oriented Gradient with Ship Size Ratio
Eum, Hyukmin,Bae, Jaeyun,Yoon, Changyong,Kim, Euntai Korean Institute of Intelligent Systems 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.4
In this paper, a ship detection method is proposed; this method uses edge-based segmentation and histogram of oriented gradient (HOG) with the ship size ratio. The proposed method can prevent a marine collision accident by detecting ships at close range. Furthermore, unlike radar, the method can detect ships that have small size and absorb radio waves because it involves the use of a vision-based system. This system performs three operations. First, the foreground is separated from the background and candidates are detected using Sobel edge detection and morphological operations in the edge-based segmentation part. Second, features are extracted by employing HOG descriptors with the ship size ratio from the detected candidate. Finally, a support vector machine (SVM) verifies whether the candidates are ships. The performance of these methods is demonstrated by comparing their results with the results of other segmentation methods using eight-fold cross validation for the experimental results.