• Title/Summary/Keyword: Error Reduction

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Verification on the Reduction Technique of Measurement Time of Total Radiated Power (TRP) by Using Effective Isotropic Radiated Power (EIRP) in 5G Frequency Band (유효등방복사전력(EIRP)을 활용한 5G 주파수 대역 총복사전력(TRP) 측정시간의 단축방안 검증)

  • Kim, Dong-Woo;Oh, Soon-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.5
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    • pp.835-840
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    • 2020
  • In this paper, we described the verification results on method by using the computer simulation and practical experiment for reduction of total radiated power (TRP) measurement time consuming tens of hours. TRP measurements are used in the 5G band in order to exactly evaluate the wireless communication equipment, but it takes a long measurement time because of dense sampling interval. Moreover, if there are various beam forming scenarios, the total measurement time increases exponentially. Therefore, the world-wide research on reduction method of the TRP measurement time is intensively on going. The verified method in this paper is to calculate the TRP through effective isotropical radiated power (EIRP). At first, the relation of TRP and EIRP was investigated, and an antenna for testing was designed and constructed. And, the amount of error was analyzed through simulation and measurement. The analysed results showed that the derived TRP through EIRP has very small error. This method could be applied for TRP measurements of 5G wireless communication equipments.

Forecasting drug expenditure with transfer function model (전이함수모형을 이용한 약품비 지출의 예측)

  • Park, MiHai;Lim, Minseong;Seong, Byeongchan
    • The Korean Journal of Applied Statistics
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    • v.31 no.2
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    • pp.303-313
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    • 2018
  • This study considers time series models to forecast drug expenditures in national health insurance. We adopt autoregressive error model (ARE) and transfer function model (TFM) with segmented level and trends (before and after 2012) in order to reflect drug price reduction in 2012. The ARE has only a segmented deterministic term to increase the forecasting performance, while the TFM explains a causality mechanism of drug expenditure with closely related exogenous variables. The mechanism is developed by cross-correlations of drug expenditures and exogenous variables. In both models, the level change appears significant and the number of drug users and ratio of elderly patients variables are significant in the TFM. The ARE tends to produce relatively low forecasts that have been influenced by a drug price reduction; however, the TFM does relatively high forecasts that have appropriately reflected the effects of exogenous variables. The ARIMA model without the exogenous variables produce the highest forecasts.

A Performance Comparison of CR-MMA and FC-MMA Adaptive Equalization Algorithm in 2 dimensional QAM Signal (2차원 QAM 신호에서 CR-MMA와 FC-MMA 적응 등화 알고리즘의 성능 비교)

  • Lim, Seung-Gag
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.1
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    • pp.85-90
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    • 2018
  • This paper compares the equalization algorithm of CR-MMA (Constellation Reduction-Multi Modulus Algorithm) and FC-MMA (Fast Convergence-Multi Modulus Algorithm) for the compensation of channel's distortion in transmitting the 2 dimensional 16-QAM signals. The CR-MMA adaptive equalizer use the error signal by reduce the nonconstant modulus signal to constant modulus signal in order to updates the tap coefficient, and the FC-MMA adptive equalizer use the error signal applying the modified dispersion constant considering the number of symbol level instead of signal point reduction. These two algorithm are known to its superior to the convergence characteristic among the MMA series equalizer. In this paper, the other equalization performance including the convergence characteristic was compared by computer simulation. As a result of computer simulation, FC-MMA has more good performance in the residual isi, maximum distortion and SER performance than CR-MMA, but not in convergence speed.

A Novel Fixed-Complexity Signal Detection Technique Using Lattice Reduction for Multiple Antenna Systems (다중 안테나 시스템을 위한 고정된 연산 복잡도를 갖는 격자 감소 기반 신호 검출 기법)

  • Yang, Yusik;Suh, Dong Geun;Kim, Jaekwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.1
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    • pp.10-18
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    • 2013
  • Recently, a fixed complexity LR(fcLR) technique was proposed. Also QR-LRL signal detection method was proposed in which all constellation symbols are tried as the symbol corresponding to the least reliable layer (LRL), thereby achieving high error performance. In this paper, we combine these two efficient methods to propose a novel detection method. When the LRL is disregarded in the process of LR, the worst case complexity of LR is significantly reduced. Also, the proposed method is shown to be superior to the conventional fcLR-based detection method from the perspective of error performance. Simulations are performed to demonstrate the efficacy of the proposed method.

Performance Analysis of the UHF RFID Reader with the Range Correlation Effects of the Phase Noise (위상 잡음의 거리 상관 효과에 따른 UHF RFID 리더의 성능 분석)

  • Jang, Byung-Jun;Kang, Min-Soo;Lim, Jae-Bong
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.2
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    • pp.152-160
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    • 2008
  • In this paper, we analyze the performance of a direct-conversion UHF RFID reader with the range correlation effects of the phase noise. Since a UHF RFIB system uses the same oscillator to generate the transmitted carrier and the local oscillation, the periodic interference and phase noise reduction effects occur due to time delay between two signals. Through exact theory and simulation, we verify how to cancel the periodic interference phenomena using I/Q diversity combining technique. And, we analyze phase noise reduction effects due to range correlation as a function of the tag-reader distance and the offset frequency Using these results, we simulate the symbol-error-rate performance with respect to phase noise with and without range correation effects. We show that the phase noise of the local oscillator has little effect on the symbol-error-rate performance because of phase noise reduction by range correlation.

A Study on Adaptive Sine Soft Clipping Method for PAPR Reduction in OFDM System (OFDM 시스템의 PAPR 감소를 위한 Adaptive Sine Soft Clipping 기법에 관한 연구)

  • Yoo, Sun-Yong;Kim, Wan-Tae;Jo, Sung-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.340-343
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    • 2007
  • OFDM (Orthogonal Frequency Division Multiplexing) system is robust to frequency selective fading and narrowband interference in high-speed data communications. However, an OFDM signal consists of a number of independently modulated subcarriers, which can give a large PAPR (peak-to-Average Power Ratio) when added up coherently. In this paper, we propose a new PAPR reduction method using Adaptive Sine Soft Clipping (ASS Clipping) to solve the PAPR problem. The proposed method reduce the PAPR and out-of-band spectrum by cutting down high frequency components. From computer simulation results, we analyze the PSD (Power Spectral Density) and BER (Bit Error Rate) performance as well as PAPR reduction performance when the ASS Clipping method is applied to OFDM system.

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An Adaptive Companding Scheme for Effective PAPR Reduction of OFDM Signals (OFDM 신호의 효율적인 PAPR 감소를 위한 적응적 Companding 기법)

  • Kim, Jae-Woon;Shin, Yo-An
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11C
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    • pp.1067-1075
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    • 2009
  • In this paper, we propose an adaptive companding scheme to effectively reduce PAPR (Peak-to-Average Power Ratio) of the OFDM (Orthogonal Frequency Division Multiplexing) signals, while considering both complexity and BER (Bit Error Rate) performance of systems. The proposed scheme adaptively alters the compression function in the transmitter and the expanding function in the receiver to simultaneously take into account the BER performance and the PAPR reduction. In this paper, we also measure in-band and out-of-band spectra of the proposed scheme, and observe the BER performance after applying the filtering to reduce the out-of-band radiation. As compared to the conventional companding algorithm, simulation results reveal that the proposed scheme achieves more reliable BER performance in all the cases of with and without the filtering, and has a good spectrum characteristic with effective PAPR reduction.

A Performance Improvement of CR-MMA Adaptive Equalization Algorithm using Adaptive Modulus and Adaptive Stepsize (Adaptive Modulus와 Adaptive Stepsize를 이용한 CR-MMA 적응 등화 알고리즘의 성능 개선)

  • Lim, Seung-Gag
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.5
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    • pp.107-113
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    • 2019
  • This paper proposes the Hybrid-CRMMA adaptive equalization algorithm that is possible to improves the performance of CR-MMA based on adaptive modulus and adaptive stepsize. The 16-QAM nonconstant modulus signal is reduced to 4-QAM constant modulus signal, and the error signal were obtained based on the fixed statistic modulus of transmitted signal. It is possible to improving the currently MMA adaptive equalization performance. The proposed Hybrid-CRMMA composed of adaptive modulus which is propotional to the power of equalizer output and adaptive stepsize which is function of the nonlinearties of error signal, and its improved equalization performance were confirmed by computer simulation. For this purpose, the output signal constellation, the residual isi and maximum distortion and MSE that is for the convergence characteristics, the SER that is meaning the robustness of external noise of algorithm were used. As a result of computer simulation, it was confirmed that the proposed Hybrid-CRMMA has more superior performance in every index compared to currently CR-MMA.

Comparison of Circuit Reduction Techniques for Power Network Noise Analysis

  • Kim, Jin-Wook;Kim, Young-Hwan
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.9 no.4
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    • pp.216-224
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    • 2009
  • The endless scaling down of the semiconductor process made the impact of the power network noise on the performance of the state-of-the-art chip a serious design problem. This paper compares the performances of two popular circuit reduction approaches used to improve the efficiency of power network noise analysis: moment matching-based model order reduction (MOR) and node elimination-based MOR. As the benchmarks, we chose PRIMA and R2Power as the matching-based MOR and the node elimination-based MOR. Experimental results indicate that the accuracy, efficiency, and memory requirement of both methods very strongly depend on the structure of the given circuit, i.e., numbers of the nodes and sources, and the number of moments to preserve for PRIMA. PRIMA has higher accuracy in general, while the error of R2Power is also in the acceptable range. On the other hand, PRIMA has the higher efficiency than R2Power, only when the numbers of nodes and sources are small enough. Otherwise, R2Power clearly outperforms PRIMA in efficiency. In the memory requirement, the memory size of PRIMA increases very quickly as the numbers of nodes, sources, and preserved moments increase.

Optimal Design of Piecewise Linear Companding Transforms for PAPR Reduction in OFDM Systems

  • Mazahir, Sana;Sheikh, Shahzad Amin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.1
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    • pp.200-220
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    • 2016
  • Orthogonal frequency division multiplexing (OFDM) signals suffer from the problem of large peak-to-average power ratio (PAPR) which complicates the design of the analog front-end of the system. Companding is a well-known PAPR reduction technique that reduces the PAPR by transforming the signal amplitude using a deterministic function. In this paper, a novel piecewise linear companding transform is proposed. The design criteria for the proposed transform is developed by investigating the relationships between the compander and decompander's profile and parameters with the system's performance metrics. Using analysis and simulations, we relate the companding parameters with the bit error rate (BER), out-of-band interference (OBI), amount of companding noise, computational complexity and average power. Based on a set of criteria developed thereof, we formulate the design of the proposed transform. The main aim is to preserve the signal's attributes as much as possible for a predetermined amount of PAPR reduction. Simulations are carried out to evaluate and compare the proposed scheme with the existing companding transforms to demonstrate the enhancement in PAPR, BER and OBI performances.