6 research outputs found

    ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ๋ฅผ ์œ„ํ•œ ์ „๋ ฅ์„  ํ†ต์‹ ์˜ ์‹ ๋ขฐ์„ฑ ํ–ฅ์ƒ ๊ธฐ๋ฒ• ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2014. 8. ๊น€์„ฑ์ฒ .์ง€๊ตฌ ์˜จ๋‚œํ™”, ์ฆ๊ฐ€ํ•˜๋Š” ์—๋„ˆ์ง€ ์š”๊ตฌ ๋ฐ ์ตœ๋Œ€ ๋ถ€ํ•˜์— ๋”ฐ๋ฅธ ์œ„ํ—˜ ๋ฌธ์ œ ๋“ฑ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ ๊ตฌ์ถ•์„ ์œ„ํ•œ ๋งŽ์€ ๋…ธ๋ ฅ๋“ค์ด ์ง„ํ–‰ ์ค‘์ด๋‹ค. ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ๋ฅผ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ–ฅ์ƒ๋œ ์ •๋ณดํ†ต์‹  ๊ธฐ์ˆ ์ด ํ•„์š”ํ•˜๋ฉฐ, ์ด๋Š” ํ†ต์‹  ๋„คํŠธ์›Œํฌ๋ฅผ ํ†ตํ•œ ์•ˆ์ •์„ฑ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ์ „์†ก ์—ฌ๋ถ€์— ๋‹ฌ๋ ค์žˆ๋‹ค. ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ๋ฅผ ์œ„ํ•œ ์—ฌ๋Ÿฌ ํ†ต์‹ ๊ธฐ์ˆ  ํ›„๋ณด ์ค‘ ์ „๋ ฅ์„ ํ†ต์‹  (PLC), ํŠนํžˆ ์ค‘์ „์•• (MV) ์ „๋ ฅ์„  ์ƒ์˜ ๊ณ ์† PLC์— ์ง‘์ค‘ํ•˜์˜€๋‹ค. ์ „๋ ฅ์„  ํ†ต์‹  ๋„คํŠธ์›Œํฌ์˜ ์‹ ๋ขฐ์„ฑ์€ ์ „๋ ฅ์„ ์ด ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ์˜ ํ†ต์‹  ๋งค์ฒด๋กœ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ๋™์ž‘ํ•˜๊ธฐ ์œ„ํ•œ ์„ ๊ฒฐ ์กฐ๊ฑด์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ „๋ ฅ์„  ํ†ต์‹ ์„ ๋ณด๋‹ค ์‹ ๋ขฐ์„ฑ ์žˆ๊ณ  ๊ฐ•๊ฑดํ•˜๊ฒŒ ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์— ๋Œ€ํ•˜์—ฌ ์—ฐ๊ตฌํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด OFDM ๊ธฐ๋ฐ˜์˜ ์ „๋ ฅ์„  ํ†ต์‹  ์‹œ์Šคํ…œ์—์„œ ์ตœ๋Œ€๋น„ํ•ฉ์„ฑ (MRC) ๋‹ค์ด๋ฒ„์‹œํ‹ฐ ๊ตฌ์กฐ๋ฅผ ๊ณ ์•ˆํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ์—์„œ ์ตœ๋Œ€๋น„ํ•ฉ์„ฑ ๋‹ค์ด๋ฒ„์‹œํ‹ฐ ์ด๋“์„ ์ตœ๋Œ€ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ์ตœ์ ์˜ ๋ถ€๋ฐ˜์†กํŒŒ ํŽ˜์–ด๋ง (subcarrier pairing) ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜์„ ํ†ตํ•ด ์ œ์•ˆํ•˜๋Š” ๊ธฐ๋ฒ•์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ ์—ฌ๋ถ€๋ฅผ ๊ฒ€์ฆํ•œ๋‹ค. ๋‹ค์ด๋ฒ„์‹œํ‹ฐ ์ด๋“์€ ์ฃผํŒŒ์ˆ˜ ํšจ์œจ์˜ ๊ฐ์†Œ๋ฅผ ์œ ๋ฐœํ•œ๋‹ค. ์•ž์˜ ์ œ์•ˆ๋œ ๋ถ€๋ฐ˜์†กํŒŒ ํŽ˜์–ด๋ง ๊ธฐ๋ฒ•์œผ๋กœ ์ธํ•ด ๋ณธ์งˆ์ ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ์ฃผํŒŒ์ˆ˜ ํšจ์œจ ๊ฐ์†Œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, ๋ฌด์„  MIMO ์ฑ„๋„์˜ ์ „์ฒ˜๋ฆฌ (precoding) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด, ๋†’์€ ๋ณ€์กฐ ์ง€์ˆ˜๋กœ ํŽ˜์–ด๋ง ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜๋Š” ๊ฒƒ์ด ๋งค์šฐ ๋งŽ์€ ๊ณ„์‚ฐ๋Ÿ‰์ด ํ•„์š”ํ•œ ์ „์ฒ˜๋ฆฌ ๊ธฐ๋ฒ•๊ณผ ๋น„๊ตํ•˜์—ฌ ์œ ์‚ฌํ•œ ์„ฑ๋Šฅ์„ ๋‚˜ํƒ€๋ƒ„์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ ์ตœ๋Œ€๋น„ํ•ฉ์„ฑ ๊ธฐ๋ฐ˜ ์ตœ์  ๋ถ€๋ฐ˜์†กํŒŒ ํŽ˜์–ด๋ง ๊ธฐ๋ฒ•์„ ์ „๋ ฅ์„ /๋ฌด์„  ๋‹ค์ด๋ฒ„์‹œํ‹ฐ ์‹œ์Šคํ…œ์— ํ™•์žฅํ•œ๋‹ค. ์ด ์‹œ์Šคํ…œ์—์„œ ์ „๋ ฅ์„ ๊ณผ ๋ฌด์„ ์‹œ์Šคํ…œ์˜ ๊ฐ ๋ถ€๋ฐ˜์†กํŒŒ๋“ค์€ ์ง์„ ์ด๋ฃจ์–ด ์ตœ๋Œ€๋น„ํ•ฉ์„ฑ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ „์ฒด ๋ฐ์ดํ„ฐ ์ „์†ก๋ฅ ์„ ์ตœ๋Œ€ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์•ž๊ณผ ์œ ์‚ฌํ•œ ์ตœ์  ๋ถ€๋ฐ˜์†กํŒŒ ํŽ˜์–ด๋ง ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ ๊ธฐ๋ฒ•์ด ๋ฐ์ดํ„ฐ ์ „์†ก๋ฅ ๊ณผ ์•„์›ƒํ‹ฐ์ง€ ํ™•๋ฅ  ์ธก๋ฉด์—์„œ ์ƒ๋‹นํ•œ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค.To solve the problems of global warming effects, rising energy-hungry demands, and risks of peak loads, many efforts to build a Smart Grid system are underway. A smart grid requires advanced information, and communication technologies to support its intelligent features, and it depends on the reliable data transmission via a communication network. Among the candidates of communication technology for smart grid, we focus on a power line communications (PLC), especially a broadband PLC over a medium voltage (MV) powerline network. The reliability of the PLC network are prerequisite for an appropriate communication medium for smart grid. This dissertation considers a strategy to make the PLC network more reliable and robust. We consider a maximal ratio combining (MRC) diversity scheme for a power line orthogonal frequency division multiplexing (OFDM) system. An optimal subcarrier pairing scheme is proposed to maximize the MRC gain. Numerical results are presented to verify that the proposed scheme provides enhanced performance. Diversity gain comes at the expense of spectral loss. We adopt the precoding scheme proposed for wireless MIMO system to compensate the spectral loss due to the inherent transmission mechanism of the above subcarrier pairing scheme. It is shown that the proposed pairing scheme with higher modulation order achieves a comparable performance to the precoding scheme which requires high computational cost. We extend the optimal subcarrier pairing with MRC approach to powerline/wireless diversity system, where the powerline and wireless subcarriers are paired to perform maximal ratio combining (MRC). An similar optimal subcarrier pairing scheme is proposed to maximize the data rate for MRC reception in powerline/wireless diversity OFDM systems. Numerical results show that, by using the proposed optimal subcarrier pairing, significant performance enhancement can be achieved in terms of Ergodic data rate and outage probability.1 Introduction 1 1.1 Smart Grid 1 1.2 Communication and Networking in the Smart Grid 5 1.2.1 Network Topologies 6 1.2.2 Communication Technologies for the Smart Grid 8 1.3 Dissertation Outline 11 2 Power Line Communications for Smart Grid 12 2.1 Power Line Channel Characteristics 15 2.2 PLC Channel Modeling 15 2.3 PLC Channel Noise Characteristics 17 2.4 MV Channel Description for This Dissertation 19 2.4.1 Implementation of Powerline Channel 19 2.4.2 Typical Topology 22 2.5 MV Powerline Noise 25 3 Optimal Subcarrier Pairing for Maximal Ratio Combining in OFDM Power Line Communications 27 3.1 Motivation 27 3.2 Optimal Subcarrier Pairing for Maximal Ratio Combining 28 3.2.1 System Model 28 3.2.2 Optimal Subcarrier Pairing 31 3.3 Numerical Results 33 3.3.1 Simulation Environments 33 3.3.2 SER Performance Analysis 35 3.3.3 Performance Comparison with Equal Gain Combining 38 3.4 Precoding Scheme to Compensate Spectral Loss Due to Diversity Transmission 40 3.4.1 Review of the Minimum Distance-Based Precoder for MIMO Spatial Multiplexing Systems 41 3.4.2 Optimal Minimum Distance-Based Precoder for QPSK Constellation 41 3.4.3 Application to PLC OFDM System 44 3.4.4 Performance Comparison of max-dmin Precoder for QPSK Modulation 44 3.4.5 Performance Comparison of max-dmin Precoder for 16-QAM Modulation 49 3.4.6 Complexity Analysis 53 3.5 Conclusion 53 4 Optimal Subcarrier Pairing for MRC in Powerline/Wireless Diversity OFDM Systems 55 4.1 Motivation 55 4.2 Powerline/Wireless Diversity OFDM Systems 57 4.3 Optimal Subcarrier Pairing for Powerline/Wireless Diversity 60 4.4 Numerical Results 62 4.4.1 Channel Models 63 4.4.2 Performance Comparison 67 4.5 Conclusion 76 5 Concluding Remarks 77 5.1 Summary 77 5.2 Future Works 78Docto

    Femtocell/Macrocell Interference Analysis in WiBro System

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    ํŽจํ† ์…€์„ ๋„์ž…ํ•จ์œผ๋กœ์จ ์ด๋™ํ†ต์‹ ์‹œ์Šคํ…œ์˜ ์‹ค๋‚ด ์ปค๋ฒ„๋ฆฌ์ง€๋ฅผ ํ™•์žฅํ•˜๊ณ  ์‹œ์Šคํ…œ ์šฉ๋Ÿ‰์„ ์ฆ๋Œ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ํŽจํ† ์…€์ด ํšจ๊ณผ์ ์œผ๋กœ ๋™์ž‘ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„์˜ ์ „ํŒŒ ๊ฐ„์„ญ์— ๋Œ€ํ•œ ๋ถ„์„์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์™€์ด๋ธŒ๋กœ ์‹œ์Šคํ…œ์— ํŽจํ† ์…€์„ ์ ์šฉํ•˜๋Š” ๊ฒฝ์šฐ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ„์„ญ ์˜ํ–ฅ์„ ์‚ดํŽด๋ณธ๋‹ค. ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„์˜ ๋™๊ธฐ๊ฐ€ ์œ ์ง€๋œ ๊ฒฝ์šฐ๋ฅผ ๊ฐ€์ •ํ•˜์—ฌ, ํŽจํ† ์…€์ด ๋งคํฌ๋กœ ์…€๊ณผ ๋™์ผํ•œ ์ฑ„๋„์—์„œ ๋™์ž‘ํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์ธ์ ‘ ์ฑ„๋„์—์„œ ๋™์ž‘ํ•˜๋Š” ๊ฒฝ์šฐ์— ๋Œ€ํ•˜์—ฌ ์‹œ์Šคํ…œ ๋ ˆ๋ฒจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ํ‰๊ท  ์…€ throughput ์„ ๊ตฌํ•˜๊ณ  ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„ ๊ฐ„์„ญ ์˜ํ–ฅ ํŠน์„ฑ์„ ๋ถ„์„ํ•œ๋‹ค.์ด ๋…ผ๋ฌธ์€ ๋‘๋‡Œํ•œ๊ตญ 21 ์‚ฌ์—…๊ณผ ์ง€์‹๊ฒฝ์ œ๋ถ€ ๋ฐ ์ •๋ณดํ†ต์‹ ์—ฐ๊ตฌ์ง„ํฅ์›์˜ IT ํ•ต์‹ฌ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—… [2008-F-007-01, 3 ์ฐจ์› ํ™˜๊ฒฝ์—์„œ ์ง€๋Šฅํ˜• ๋ฌด์„  ํ†ต ์‹  ์‹œ์Šคํ…œ ์—ฐ๊ตฌ] ์— ์˜ํ•˜์—ฌ ์ง€์›๋˜์—ˆ

    Through-wall Characterization of Ultra WideBand signal

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    ์ดˆ๊ด‘๋Œ€์—ญํ†ต์‹ ์€ ์‹ค๋‚ดํ™˜๊ฒฝ ๊ทผ๊ฑฐ๋ฆฌ์—์„œ ์šด์šฉ๋˜๋Š” ๋‹ค์–‘ํ•œ ์‹œ์Šคํ…œ์œผ๋กœ ์ ์šฉ ๊ฐ€๋Šฅํ•œ ํ†ต์‹ ๊ธฐ๋ฒ•์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—๋Š” ์ดˆ๊ด‘๋Œ€์—ญํ†ต์‹ ์˜ ํšจ์œจ์ ์ธ ๋ง ๊ตฌ์„ฑ์„ ์œ„ํ•ด ํ•„์š”ํ•œ ์ดˆ๊ด‘๋Œ€์—ญ ์‹ ํ˜ธ์˜ ๋ฒฝ ์žฌ์งˆ์— ๋”ฐ ๋ฅธ ๊ฐ์‡„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์žˆ๋‹ค. ๋ถ„์„์€ ์ผ๋ฐ˜ ๊ฑด๋ฌผ์— ์ฃผ๋กœ ์‚ฌ์šฉ๋˜๋Š” 4 ๊ฐ€์ง€ ์žฌ์งˆ์˜ ๋ฒฝ ์— ๋Œ€ํ•˜์—ฌ 3GHz ๋Œ€์—ญ์˜ 600MHz ์‹ ํ˜ธ๋ฅผ ํˆฌ๊ณผ์‹œ์ผœ ํŠน์„ฑ์„ ๋ชจ๋ธ๋งํ•˜์˜€๋‹ค. ๋ถ„์„๊ธฐ๋ฒ•์€ ์ „์ž๊ธฐํ•™๊ณผ ์œ ํ•œ์ฐจ๋ถ„์‹œ๊ฐ„์˜์—ญ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์ด๋ก ์  ๊ฐ์‡„๋Ÿ‰์„ ์˜ˆ์ธกํ•œ ํ›„ ํšŒ๋กœ๋ง๋ถ„์„๊ธฐ ๊ธฐ๋ฐ˜์˜ ์ธก์ •์‹œ์Šคํ…œ ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •๊ฒฐ๊ณผ๋ฅผ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐฉ์‹์ด๋‹ค. ์ˆ˜์ง์ž…์‚ฌ ์‹œ์— ๊ฐ์‡„๋Ÿ‰์˜ ๋ถ„์„์€ ์„ ํƒ๋œ ์ฃผํŒŒ์ˆ˜ ์˜์—ญ์˜ ํ‰๊ท  ๊ฐ์‡„๋Ÿ‰๊ณผ ํ•จ๊ป˜ ์ฃผํŒŒ์ˆ˜์— ๋”ฐ๋ฅธ ๊ฐ์‡„๋Ÿ‰์˜ ํ‘œ์ค€ํŽธ์ฐจ ๊ฐ’์ด ์ฃผํŒŒ์ˆ˜ ์„ ํƒํŠน์„ฑ๋ถ„์„์„ ์œ„ ํ•ด ๋น„๊ต๋˜์—ˆ์œผ๋ฉฐ ๋ฒฝ์„ ํ†ต๊ณผํ•œ ํ›„ ์ˆ˜์‹ ๋˜๋Š” ๊ฐ๋„์— ๋”ฐ๋ฅธ ๊ฐ์‡„๋Ÿ‰์„ ๋ถ„์„ํ•˜์—ฌ ์ˆ˜์‹ ์ง€์ ์— ๋”ฐ๋ฅธ ๊ฐ์‡„๊ฒฝํ–ฅ์„ ๋ชจ๋ธ๋งํ•˜์˜€๋‹ค.๋ณธ ๋…ผ๋ฌธ์€ Brain Korea 21 project ์™€ ์„œ์šธ์‹œ ์‚ฐํ•™ ์—ฐ ํ˜‘๋ ฅ์‚ฌ์—… (10544)์˜ ๋„์›€์œผ๋กœ ์ž‘์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค

    ZigBee ๊ธฐ๋ฐ˜ ์‹ค๋‚ด ๋ฌด์„ ์ธก์œ„๋ฅผ ์œ„ํ•œ ๊ฒฝ๋กœ ์†์‹ค ์ธก์ •

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    ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ZigBee ๊ธฐ๋ฐ˜ ์‹ค๋‚ด ๋ฌด์„  ์ธก์œ„์— ํ•„์š”ํ˜„ ๊ฒฝ๋กœ ์†์‹ค ๋ชจ๋ธ์„ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ์ผ๋ฐ˜์ ์ธ ์‚ฌ๋ฌด์‹ค ์‹ค๋‚ด ํ™˜๊ฒฝ์—์„œ ์ƒ์šฉ ZigBee ์นฉ์…‹์„ ์ด์šฉํ•˜์—ฌ ๊ฒฝ๋กœ ์†์‹ค์„ ์ธก์ •ํ•˜์˜€๋‹ค.์ด ๋…ผ๋ฌธ์€ ๋‘๋‡Œํ•œ๊ตญ21์‚ฌ์—…์— ์˜ํ•˜์—ฌ ์ง€์›๋˜์—ˆ

    System Capacity and Interference Anlaysis for the Deployment of WCDMA system at 900 MHZ

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    WCDMA at 900 MHz will propagate further than its equivalent at 2100 MHz due to the lower frequency. So, there is a growing interest in deploying WCDMA system in the 900MHz frequency band in order to reduce the cost of coverage for mobile communications services. In this paper, we analyzed WCDMA system capacity and effect of interference at 900 MHz by system level simulation.

    Localization Algorithms Using Wireless Communication Systems

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    ์‚ฌ์šฉ์ž์˜ ์œ„์น˜๋ฅผ ๊ณ ๋ คํ•œ ๋งž์ถคํ˜• ์œ„์น˜๊ธฐ๋ฐ˜์„œ๋น„์Šค ์ œ๊ณต์„ ์œ„ํ•ด์„œ๋Š” ์‚ฌ์šฉ์ž์˜ ์ •ํ™•ํ•œ ์œ„์น˜๋ฅผ ์ถ”์ •ํ•˜๋Š” ๊ธฐ๋ฒ• ๊ฐœ๋ฐœ์ด ์„ ํ–‰๋˜์–ด์•ผ ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฌด์„  ํ†ต์‹ ์‹œ์Šคํ…œ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฌ์šฉ์ž์˜ ์œ„์น˜๋ฅผ ์ถ”์ ํ•˜๋Š” ๊ธฐ๋ฒ•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋™ํ–ฅ์„ ์‚ดํŽด๋ณด๊ณ  ์ดˆ๊ด‘๋Œ€์—ญ ํ†ต์‹ ์‹œ์Šคํ…œ์—์„œ ์ง€์—ฐ๋ณ€์ˆ˜๋ฅผ ์ด์šฉํ•œ ๋ณตํ•ฉํ˜• ๋ฌด์„  ์ธก์œ„ ๊ธฐ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ๋จผ์ €, ๋ฌด์„  ์ธก์œ„๋ฅผ ์œ„ํ•œ ์ดˆ๊ด‘๋Œ€์—ญ ํ†ต์‹ ์˜ ์žฅ, ๋‹จ์ ์„ ๋‹ค๋ฅธ ํ†ต์‹ ์‹œ์Šคํ…œ๊ณผ ๋น„๊ตํ•œ ํ›„ ๋ฌด์„  ์ธก์œ„์— ์‚ฌ์šฉ๋˜๋Š” ์ธก์œ„ ํŒŒ๋ผ๋ฏธํ„ฐ์— ๋”ฐ๋ฅธ ๊ธฐ๋ฒ•๋“ค์„ ์†Œ๊ฐœํ•˜๋ฉฐ ํ˜„์žฌ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋Š” ๋ณตํ•ฉํ˜• ๋ฌด์„  ์ธก์œ„ ๊ธฐ๋ฒ•์˜ ์—ฐ๊ตฌ๋™ํ–ฅ์„ ์‚ดํŽด๋ณธ๋‹ค. ๋ชจ์˜ ์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ์„ฑ๋Šฅ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ง€์—ฐ๋ณ€์ˆ˜ ๊ฐ’์œผ๋กœ๋ถ€ํ„ฐ ๊ฐ€์‹œ๊ฒฝ๋กœ์˜ ์กด์žฌ ์œ , ๋ฌด๋ฅผ ํŒ๋‹จํ•˜๊ณ  ๊ทธ์— ๋”ฐ๋ผ ๊ฑฐ๋ฆฌ ์ถ”์ •๊ฐ’์„ ์„ ํƒํ•˜๋Š” ๋ณตํ•ฉํ˜• ์ธก์œ„ ๊ธฐ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค.;For efficient Localization Based Services, development of accurate localization algorithm has to be preceded. In this paper, research trend of localization algorithm using Ultra WideBand (UWB) radio is reported and hybrid localization algorithm using delay parameters is proposed. As communication for localization, the UWB is compared with other systems. After introducing localization algorithms using UWB, proposed hybrid algorithms are presented. In our proposed hybrid algorithm, anchor nodes determined the existence of line-ofsight path from measured delay parameters. Then, using time of arrival and received signal strength information, calculated range estimation results are sent to the central processor. The performance of our algorithm is compared to existing algorithms using simulation and it is confirmed that about 20% of localization error of conventional localization algorithm using TOA is reduced in localization algorithm with three base stations.๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถ€๋ถ„์ ์œผ๋กœ SKํ…”๋ ˆ์ฝค๊ณผ ์„œ์šธ์‹œ ์‚ฐํ•™์—ฐ ํ˜‘๋ ฅ์‚ฌ์—…(10544)์˜ ์ง€์›์„ ๋ฐ›์•˜์Œ
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