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Contents 1

(A) signal detection of minimum variance algorithm on linear constraints / Kwan Hyeong Lee 1

Abstract 1

1. Introduction 1

2. System Model 2

3. Minimum Variance Algorithm on Linear Constraints 3

4. Simulation 4

5. Conclusion 6

References 6

초록보기

We propose a method forremoving interference and noise to estimate target information. Inwireless channels, information signals are subject to interference and noise, making it is difficult to accurately estimate the desired signal. To estimate the desired information signal, it is essential to remove the noise and interference from the received signal, extracting only the desired signal. If the received signal noise and interference are not removed, the estimated information signal will have a large error in distance and direction, and the exact location of the target cannot be estimated. This study aims to accurately estimate the desired target in space. The objective is to achieve more presice target estimation than existing methods and enhance target resolution.An estimation method is proposed to improve the accuracy of target estimation. The proposed target estimation method obtains optimal weights using linear constraints and the minimum variance method. Through simulation, the performance of the proposed method and the existing method is analyzed. The proposed method successfully estimated all four targets, while the existing method only estimated two targets. The results show that the proposed method has better resolutiopn and superior estimation capability than the existing method

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기사명 저자명 페이지 원문 목차
Proposed a consulting chatbot service for restaurant start-ups using social media big data Jong-Hyun Park, Yang-Ja Bae, Jun-Ho Park, Ki-Hwan Ryu p. 1-7

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(A) signal detection of minimum variance algorithm on linear constraints Kwan Hyeong Lee p. 8-13

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(The) performance of MIMO cooperative communication systems using the relay with multi-antennas and DSTC Chan Kyu Kim p. 14-23

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(The) impact of franchise education on corporate performance and CEO competency Jun-Young Lee, Gi-Hwan Ryu p. 24-31

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Human normalization approach based on disease comparative prediction model between COVID-19 and influenza Janghwan Kim, Min-Yong Jung, Da-Yun Lee, Na-Hyeon Cho, Jo-A Jin, R. Young-Chul Kim p. 32-42

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(A) simulation study on queueing delay performance of slotted ALOHA under time-correlated channels Yoora Kim p. 43-51

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(The) study of the restaurant start-up chatbot system using big data Sung-woo Park, Gi-Hwan Ryu p. 52-57

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Bankruptcy prediction with explainable artificial intelligence for early-stage business models Tuguldur Enkhtuya, Dae-Ki Kang p. 58-65

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Triplet class-wise difficulty-based loss for long tail classification Yaw Darkwah Jnr., Dae-Ki Kang p. 66-72

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Study on the failure of autonomous mobility in world network cities Dae Sung Seo p. 73-81

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(A) research of ink and wash elements on the 3D animation film <Deep Sea> Biying Guo, Xinyi Shan, Jeanhun Chung p. 82-87

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(A) study on the impact of modern technological development on the form of music concerts Yifan Cui, Xinyi Shan, Jeanhun Chung p. 88-93

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Detecting abnormal human movements based on variational autoencoder Doi Thi Lan, Seokhoon Yoon p. 94-102

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(A) study on the life prediction of lithium ion batteries based on a convolutional neural network model Mi-Jin Choi, Sang-Bum Kim p. 118-121

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Single-balanced direct conversion quadrature receiver with self-oscillating LMV Nam-Jin Oh p. 122-128

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(A) study on impedance change trend and battery life analysis through battery performance deterioration factors Mi-Jin Choi, Young-Jun Kim, Sang-Bum Kim p. 129-134

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Revising the Korean newspaper advertising code of ethics : an empirical investigation leveraging expert interviews and analytic hierarchy process (AHP) surveys Yoo, Seung-Chul, Kang, Seung-Mi p. 135-148

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(A) study on scenario-based web application security education method Gilja So p. 149-159

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Reflections on sports for all bodybuilding participants and doping Sang-Hyun Lee p. 160-165

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Comparison of value-based reinforcement learning algorithms in cart-pole environment Byeong-Chan Han, Ho-Chan Kim, Min-Jae Kang p. 166-175

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(A) stay detection algorithm using GPS trajectory and points of interest data Eunchong Koh, Changhoon Lyu, Goya Choi, Kye-Dong Jung, Soonchul Kwon, Chigon Hwang p. 176-184

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ESG performance and corporate value : evidence from Korean IT companies Joon Woo Park p. 185-190

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Research on the evaluation model for the impact of AI services Soonduck Yoo p. 191-202

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Development of a stock auto-trading system using condition-search Gyu-Sang Cho p. 203-210

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Big data analysis on the perception of home training according to the implementation of COVID-19 social distancing Hyun-Chang Keum, Kyung-Won Byun p. 211-218

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Development of ISO 26262 based requirements analysis and verification method for efficient development of vehicle software Kyoung Lak Choi, Min Joong Kim, Young Min Kim p. 219-230

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Blockchain based learning management platform for efficient learning authority management Youn-A Min p. 231-238

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(A) study on removal method of humidifier particles using electrostatic precipitation technology Inpyo Cha, Taekeon Jung, Hyunjun Yun, Chuljun Choi p. 239-245

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참고문헌 (11건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Z. Yongsheng, H. Dexiu, Z. Yongjum, and L. Zhixin, “Moving Target Localization for Multistatic Passive Radar Using Delay, Doppler, and Doppler Rate Measurements”, IEEE, Vol. 31, No. 5, pp.939-949, Oct 2020. DOI: https://doi.org/10.23919/JSEE.2020.000071 미소장
2 X. Zhengguang, C. Yaling, and Z. Peng, “A Sparse Uniform Linear Array DoA Estimation Algorithm for FMCW Radar”, IEEE, Vol. 30, No. 1, pp.823-827, July 2023. DOI: https://doi.org/10.1109/LSP.2023.3292739 미소장
3 Z. chengjong, H. Guoping, Z. Fangzheng, and Z. Hao, “Co-Prime MIMO Radar for DoD, DoA, and Doppler Frequency Estimation with Low Complexity”, IEEE, Vol. 11, No. 1, pp.66568-66578, June 2023. DOI: https://doi.org/10.1109/ACCESS.2023.3291342 미소장
4 L. Lan, L Guisheng, X. Jingwei, X. Yanhong, and S. Hing Cheung, “Beampattern Synthesis Based on Novel Receive Delay Array for Mainlobe Interference Mitigation”, IEEE, Vol. 71, No. 5, pp.4470-4485, Feb 2023. DOI: https://doi.org/10.1109/TAP.2023.3247916 미소장
5 G. Frost, “A novel algorithm for Targeted Metabolite Profiling using NMR Spectrum”, in Proc. 6th IEEE International Symposium on Advanced Control of Industrial Processes, May.28-31, 2017. DOI: https://doi.org/10.1109/ADCONIP.2017.7983845 미소장
6 L. Griffiths, “An Adaptive Lattice Structure for Noise-Cancelling Applications”, in Proc. ’78 IEEE International Conference on Acoustics, Speech, and Signal Processing, April.10-12,1978. DOI: https://doi.org/10.1109/ICASSP.1978.1170536 미소장
7 L. Griffiths and C. Jim, “An Alternative Approach to Linearly Constrained Adaptive Beamforming”, IEEE, Vol. 30, No. 1, pp.27-34, Jan 1982. DOI: https://doi.org/10.1109/TAP.1982.1142739 미소장
8 M. Skolnik, Introduction Radar System, McGraw Hall, pp. 54, 2000. 미소장
9 R. Bassem and F. Mahafza, Radar System Analysis and Design using Matlab, Chapman Hall CRC, pp. 68, 2000. 미소장
10 B. Allen and M.Ghavarri, Adaptive Array System, Wiley, pp. 154, 2005. 미소장
11 L. Chand Godara, Smart Antennas, CRC Press, pp.114, 2004. 미소장

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