• Title/Summary/Keyword: Oversampled Signal

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Oversampled Sigma-Delta A/D Converters Designed by Bilinear Transform (쌍선형 변환에 의한 과표본화율의 시그마-델타 A/D 변환율)

  • Park, Chong-Yeun
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.5
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    • pp.808-815
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    • 1990
  • This paper treats with the design method for the single loop oversampled Sigma-Delta A/D converter with one delay and the digital integrator. Such an integrator was kgenerated by means of the bilinear transform of the analog integrator. The frequency spectrums of the quantizer and the decimator output signal are evaluated by FFT respectively. With the performance evaluation system, the values of SNR are obtained versus the input sinusoidal signal amplitude, frequency, the oversampling ratio, the DC-input level, the loop gain and the limitting value of the integrator. As compared with existing results, values of SNR versus the input signal amplitude and the oversampling ratio for the suggested system are about 6dB higher then previously reported results respectively. Furthermore, this approach achieves an about 60dB input dynamic range.

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Mitigation of Impulse Noise Using Slew Rate Limiter in Oversampled Signal for Power Line Communication (전력선 통신에서 오버 샘플링과 Slew Rate 제한을 이용한 임펄스 잡음 제거 기법)

  • Oh, Woojin;Natarajan, Bala
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.4
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    • pp.431-437
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    • 2019
  • PLC(Power Line Communication) is being used in various ways in smart grid system because of the advantages of low cost and high data throughput. However, power line channel has many problems due to impulse noise and various studies have been conducted to solve the problem. Recently, ACDL(Adaptive Cannonical Differential Limiter) which is based on an adaptive clipping with analog nonlinear filter, has been proposed and performs better than the others. In this paper, we show that ACDL is similar to the detection of slew rate with oversampled digital signal by simplification and analysis. Through the simulation under the PRIME standard it is shown that the proposed performs equal to or better than that of ACDL, but significantly reduce the complexity to implement. The BER performance is equal but the complexity is reduced to less than 10%.

A Signal Quality Measurement Algorithm for CDMA2000 1x Reverse-link (CDMA2000 1x 역방향 링크의 신호 품질 측정 알고리즘)

  • Kang, Sung-Jin
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.997-1004
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    • 2012
  • In this paper, we propose and implement a signal quality measurement algorithm for CDMA2000 1x terminal. The proposed algorithm is suitable to be implemented in software on a PC-based platform and extract the received signal after carrying out equalization, PN code acquisition and tracking, frequency and phase offset compensation with 4-oversampled input signal. Then, through despreading and demodulation with the extracted signal, the proposed algorithm regenerate the reference signal to be used in measurement. The signal quality is measured using this regenerated signal and the extracted signal.

Performance Improvement of OFDM Receivers by Using Rational Oversampling of the Received Signals (수신신호의 비정수배 과표본화를 이용한 OFDM 수신기의 성능 개선)

  • Lee, Young-Su;Seo, Bo-Seok
    • Journal of Digital Contents Society
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    • v.10 no.2
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    • pp.189-198
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    • 2009
  • In this paper, we propose a method to improve the performance of orthogonal frequency division multiplexing (OFDM) receivers by using oversampling the received signals. Demodulation of the received OFDM signals is to detect the amplitude and phase components of the subcarriers. From the oversampled OFDM signals, we can get redundant informations in frequency domain for the data, which are different in phase but the same in amplitude. By using these properties, we can obtain signal to noise ratio (SNR) gain by the oversampling ratio compared to the receivers which sampled with symbol rate. In this paper, we propose oversampled receivers whose oversampling ratio is expanded from integer to general rational number. Through computer simulations, we show the validity of the proposed methods by comparing the performance of the receivers with nonideal band-limiting filters.

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Quality Measurement Algorithm for IS-95 Reverse-link Signal (IS-95 역방향링크 신호의 품질 측정 알고리즘)

  • Kang, Sung-Jin;Kim, Nam-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3428-3434
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    • 2010
  • In this paper, we proposed and implemented a quality measurement algorithm for IS-95 reverse-link signal. To measure the quality of the received signal, equalization, carrier frequency/phase offset estimation, and timing synchronization are essential. And, all signal processing are carried out with baseband signal. The equalizer works with 4-oversampled samples to remove ICI(InterChip Interference). The frequency/phase offset estimator is followed by timing synchronizer since it can work without aid of data and timing information. As the number of interpolation in timing synchronization increases, the measurement accuracy improves, but computation load increases simultaneously. Therefore, one need to choose adequately the number of interpolation regarding to the platform performance to be used for the proposed algorithm.

A frequency offset correction technique for coherent OFDM receiver on the frequency-selective fading channel (주파수 선택성 페이딩 채널에서 동기식 OFDM 수신기를 위한 주파수 옵셋 보정 기법)

  • 오지성;정영모;이상욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.972-983
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    • 1996
  • This paper proposes a new technique for frequency offset correction for OFDM systems on a frequency selective fading channel. Frequency offset in OFDM introduces interchannel interference among the multiple subcarriers of OFDM signal. To compensate the interference, this paper describes an algorithm with two stages:acquisition and tracking. At both stages, the proposed algorithm oversamples the received OFDM signal to obtain a couple of demodulated symbol sets. At acquisition stage the frequency offset is reduced to half or less of the intercarrier spacings by matching the sign pattern of each element of the sets. Next, at tracking stage the frequency offset is corrected with a frequency detector which is controlled by the correlation of the two sets. It is shown that the proposed algorithm can correct the frequency offset in the event of uncertainty in the initial offset that exceeds one half of the intercarrier spacing. In addition, the proposed algorithm is robust to transmitted symbols and channel characteristics by using oversampled symbol sets.

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A study on the BER Performance Improvement by Oversampling of the Transmit Signal Waveform in OFDM (OFDM에서 전송 신호의 oversampling을 통한 BER 성능개선에 관한 연구)

  • Kim Jee bum;Jeon Hyoung goo;Jang Jong wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.10C
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    • pp.1378-1386
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    • 2004
  • In this paper, we propose an OFDM scheme to increase the BER performance. The proposed OFDM scheme makes the baseband OFDM signal by using the oversampled OFDM signal values which are obtained by inserting N(=2$\^$k/) zeros and carrying out 2N point IFFT. In the demodulation part, the sampling operation for A/D conversion is carried out with the 2 times high sampling speed. 2 N point FFT is carried out for the data demodulation. In this paper, we show, with the mathematical method and the computer simulation, that the SNR of the proposed OFDM scheme is 3 dB higher than that of the conventional OFDM in the same AWGN channel conditions given.

An Efficient Classification of Digitally Modulated Signals Using Bandwidth Estimation (대역폭 추정을 적용한 효율적인 디지털 변조 신호 분류)

  • Choi, Jong-Won;Ahn, Woo-Hyun;Seo, Bo-Seok
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.257-260
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    • 2017
  • In this letter, we propose an efficient automatic modulation recognition (AMR) method which classifies digitally modulated signals by estimating the bandwidth. In AMR, feature-based methods are widely used and the accuracy of the features is highly dependent on the number of symbols and the number of samples per symbol (NSPS). In this letter, at first, we coarsely estimate the bandwidth of the oversampled signals, and then decrease the sample rate to yield adequate NSPS. As a result, more symbols are used for AMR and the correct classification rate becomes high under the same number of samples.