• Title/Summary/Keyword: Noise cancelling

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Carrier Frequency Offset Estimation Method for Single-Carrier MIMO Systems (단일 반송파 MIMO 시스템 기반의 PN 부호열을 이용한 반송파 주파수 오차 추정 기법)

  • Oh, Jong-Kyu;Kim, Joon-Tae
    • Journal of Broadcast Engineering
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    • v.17 no.5
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    • pp.864-875
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    • 2012
  • In this paper, we propose a carrier frequency offset estimation method for single-carrier MIMO systems. In the proposed method, phase rotated PN (Pseudo-Noise) sequences are transmitted to prevent a cancelling out of partial PN sequences. After removing a modulation of received PN sequences by multiplying of complex conjugated PN Sequences which are locally generated in receiver, a CFO (Carrier Frequency Offset) is accurately estimated by employing L&R method which is a kind of ML (Maximum Likelihood) estimation algorithm and uses multiple auto-correlatos. In addition, the frequency offset estimation scheme by using channel state information is proposed for accurate CFO estimation in time-varying Rayleigh channel. By performing computer simulations, MSE (Mean Square Error) performance of proposed method is almost same as MSE performance of SISO systems in AWGN channel. Moreover, MSE Performance of proposed method with using channel information is higher than MSE performances of SISO system and conventional method in time-varying Rayleigh channel.

Estimation of Cavity Vibration Frequency Using Adaptive Filters for Gas Flow Measurement (적응 필터를 이용한 공동진동주파수 추정에 의한 기체 유량측정)

  • 남현도
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.5
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    • pp.134-140
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    • 2003
  • In this paper, a hardware implementation of gas flow meter for accuracy improvement and saving repair costs at a field is investigated. An adaptive filter using LMS algorithms for estimating cavity vibration frequencies in noisy environments is also studied. The proposed cavity gas flow meter measures cavity sound signals in gas flow tube using microphone and signal processing systems estimate the cavity vibration frequency from the measured signal. The flow velocity and flow quantity can be calculated using the estimated cavity vibration frequency. Since cavity vibration frequency is corrupted by the environmental noise, an adaptive filter using NLMS algorithms is used for cancelling the environmental noise. Experiments using 1MS32OC32 digital signal processor are performed to show the effectiveness of the proposed system.

Speech Interface with Echo Canceller and Barge- In Functionality for Telematic System (텔레매틱스 시스템을 위한 반향제거 및 Barge-In 기능을 갖는 음성인터페이스)

  • Kim, Jun;Bae, Keun-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.5
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    • pp.483-490
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    • 2009
  • In this paper, we develop a speech interface that has acoustic echo cancelling and barge-in functionalities in the car environment. In the echo canceller, DT (Double-Talk) detection algorithm using the correlation coefficients between reference and desired signals can make DT detection errors often in the background noise. We reduce the DT detection errors by using the average power of noise and echo estimated from the input signal. In addition, to make it possible for drivers to give speech command to the system by interrupting the speaker output, barge-in functionality is implemented with the combination of DT detection and appropriate gain control of the speaker output. Through the computer simulation with the assumed car environment and experiment in the real laboratory environment, implemented speech interface has shown good performance in removing acoustic echo signals in the noisy environment with proper operation of barge-in functionality.

Effective GSM Interference Cancelling Techniques Using Digital Filter for the Collocated GSM and DVB-H Terminal (GSM과 DVB-H의 복합 단말에서 디지털 필터를 적용한 GSM 간섭 신호 제거 기법)

  • Park, Pyung-Joo;Park, Yong-Woon;Seo, Myung-Hwan;Lee, Byung-Seub
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.7
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    • pp.589-602
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    • 2009
  • The phenomenon degrading reception performance of DVB broadcasting signal is caused by collocation of plural communication modules in the GSM-900 cellular phone with a built-in DVB-H receiver. This paper offers how to improve performance of the DVB-H receiver by applying digital filter that is using DSP techniques to cancel GSM signal interfering to the DVB-H receiver which is collocated in a single user's GSM terminal. In the demodulation part of the DVB-H receiver, the DVB reception performance can be greatly improved by removing interference components of GSM signal, which is flowed with DVB signal, to the noise cancellation filtering algorithm using difference of characteristics between GSM modulated signal and OFDM signal.

Capacitive Readout Circuit for Tri-axes Microaccelerometer with Sub-fF Offset Calibration

  • Ouh, Hyun Kyu;Choi, Jungryoul;Lee, Jungwoo;Han, Sangyun;Kim, Sungwook;Seo, Jindeok;Lim, Kyomuk;Seok, Changho;Lim, Seunghyun;Kim, Hyunho;Ko, Hyoungho
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.1
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    • pp.83-91
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    • 2014
  • This paper presents a capacitive readout circuit for tri-axes microaccelerometer with sub-fF offset calibration capability. A charge sensitive amplifier (CSA) with correlated double sampling (CDS) and digital to equivalent capacitance converter (DECC) is proposed. The DECC is implemented using 10-bit DAC, charge transfer switches, and a charge-storing capacitor. The DECC circuit can realize the equivalent capacitance of sub-fF range with a smaller area and higher accuracy than previous offset cancelling circuit using series-connected capacitor arrays. The readout circuit and MEMS sensing element are integrated in a single package. The supply voltage and the current consumption of analog blocks are 3.3 V and $230{\mu}A$, respectively. The sensitivities of tri-axes are measured to be 3.87 mg/LSB, 3.87 mg/LSB and 3.90 mg/LSB, respectively. The offset calibration which is controlled by 10-bit DECC has a resolution of 12.4 LSB per step with high linearity. The noise levels of tri-axes are $349{\mu}g$/${\sqrt}$Hz, $341{\mu}g$/${\sqrt}$Hz and $411{\mu}g$/${\sqrt}$Hz, respectively.