• Title/Summary/Keyword: Multiple Signal Processing

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Adaptive Multi-target Estimation Algorithm in an IR-UWB Radar Environment (IR-UWB 레이더 환경에서 적응형 다중 목표물 추정 알고리즘)

  • Yeo, Bong-Gu;Lee, Byung-Jin;Kim, Sueng-Woo;Youm, Mun-Jin;Kim, Kyung-Seok
    • Journal of Satellite, Information and Communications
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    • v.11 no.4
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    • pp.81-88
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    • 2016
  • In this paper, we propose an adaptive multi-target estimation algorithm using the characteristics of signals in the IR-UWB(Impulse-Radio Ultra Wideband) radar system, which is attracting attention because it has good transparency, robustness to the indoor environment, and high precision positioning of tens of centimeters. We proposed an algorithm that estimates multiple peaks with the characteristic that the signal reflected by the target has a peak. To verify the performance of these algorithms, multiple targets were placed in front of the radar and the existing technique and the multi - target estimation algorithm were compared. The location of the targets is estimated in real time with one transmitting antenna and one receiving antenna. The number of estimates can be increased compared with the existing peak signal derivation method, and multiple targets can be derived. The conventional technique estimates only one target, which results in a mean square error of 1 while a multi - target estimation algorithm yields a result of about 0.05. The proposed method is expected to be able to apply multiple targets to the estimation and application in one IR-UWB module environment.

Performance Analysis of MlMO-OFDMA System Combined with Adaptive Beamforming (다중 입출력과 적응형 빔형성 기술 결합기법을 적용한 직교주파수분할 다중 접속시스템의 성능 분석)

  • Chung, Jae-Ho;Choi, Seung-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2C
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    • pp.86-92
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    • 2011
  • This paper details the downlink performance analysis of an multiple antennas system that combines adaptive beamforming and spatial multiplexing (SM) Multiple Input Multiple Output (MIMO). The combination of MIMO signal processing with adaptive beamforming is applied to WiBro, the South Korean Orthogonal Frequency Division Multiple Access (OFDMA) system that follows the IEEE 802.16e standard. Performance analysis is based on the results of experiments and simulations obtained from a fixed-point simulation testbed. Simulations demonstrate that the MIMO Beamforming OFDMA system improves the required signal to noise ratio (SNR) over the conventional MIMO OFDMA system by 3 dB (QPSK) / 2.5 dB (16-QAM) for the frame error rate (FER) of 1% in the WiBro signal environments. From the implementation of the fixed-point simulation testbed and its experimental results, we verify the feasibility of the MIMO Beamforming technology for realizing a practical WiBro base station.

A Study on Tools for Implementing High-speed Neural Network (신경회로망의 고속 구현 방법에 관한 연구)

  • Kim, Pyong-Kun;Kim, Doo-Sik;Lee, Sang-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11a
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    • pp.377-380
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    • 2002
  • 신경회로망은 문자인식, 자동제어 등의 여러 분야에 널리 쓰이는 방식이다. 그러나 신경회로망을 구현하는데는 연산량이 많아서 실시간으로 구현하기에 어려움이 많이 따른다. 본 논문은 신경회로망을 구현하는데 필요한 연산을 살펴보고 그 연산을 구현하는 방법을 비교 분석하였다. 신경회로망을 구현하기 위해 DSP(Digital Signal Processor), PC의 FPU(Floating Point Unit), Intel사의 Pentium 계열 프로세서에서 지원하는 SIMD(Single Instruction Multiple Data) 기술을 사용하여 결과를 비교 분석 하였다. 신경회로망의 핵심인 MLP(Multi Layer Perceptron) 연산에 대해 실험한 결과 SIMD 기술을 이용하는 방법이 다른 방법에 비해 2배이상 좋은 결과를 나타내었다.

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Serial Transmission of Audio Signals for Multi-channel Speaker Systems (다채널 스피커 시스템을 위한 오디오 신호지 직렬 전송)

  • Kwon, Oh-Kyun;Song, Moon-Vin;Lee, Seung-Won;Lee, Young-Won;Chung, Yun-Mo
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.7
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    • pp.387-394
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    • 2005
  • In this paper, we propose a new transmission technique of audio signals for the serial connection of the speakers of multiple-channel audio systems. Analog audio signals from a multi-channel audio system are converted into digital signals with signal processing steps and transferred to each speaker through a serial line. The signal processing steps contain data compression and packet generation in association with audio signal characteristics. Each speaker gets its corresponding digital audio signals from the transmitted packets and converts the signals into analog audio signals to make sounds with the speaker All the proposed functions in this paper are modeled in VHDL. implemented with FPGA chips, and tested for actual multi-channel audio systems.

A New Blind Beamforming Procedure Based on the Conjugate Gradient Method for CDMA Mobile Communications

  • Shin, Eung-Soon;Choi, Seung-Won;Shim, Dong-Hee;Kyeong, Mun-Geon;Chang, Kyung-Hi;Park, Youn-Ok;Han, Ki-Chul;Lee, Chung-Kun
    • ETRI Journal
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    • v.20 no.2
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    • pp.133-148
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    • 1998
  • The objective of this paper is to present an adaptive algorithm for computing the weight vector which provides a beam pattern having its maximum gain along the direction of the mobile target signal source in the presence of interfering signals within a cell. The conjugate gradient method (CGM) is modified in such a way that the suboptimal weight vector is produced with the computational load of O(16N), which has been found to be small enough for the real-time processing of signals in most land mobile communications with the digital signal processor (DSP) off the shelf, where N denotes the number of antenna elements of the array. The adaptive procedure proposed in this paper is applied to code division multiple access (CDMA) mobile communication system to show its excellent performance in terms of signal to interference plus noise ratio (SINR), bit error rate (BER), and capacity, which are enhanced by about 7 dB, ${\frac{1}{100}}$ times, and 7 times, respectively, when the number of antenna elements is 6 and the processing gain is 20 dB.

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FPGA Implementation of Unitary MUSIC Algorithm for DoA Estimation (도래방향 추정을 위한 유니터리 MUSIC 알고리즘의 FPGA 구현)

  • Ju, Woo-Yong;Lee, Kyoung-Sun;Jeong, Bong-Sik
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.1
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    • pp.41-46
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    • 2010
  • In this paper, the DoA(Direction of Arrival) estimator using unitary MUSIC algorithm is studied. The complex-valued correlation matrix of MUSIC algorithm is transformed to the real-valued one using unitary transform for easy implementation. The eigenvalue and eigenvector are obtained by the combined Jacobi-CORDIC algorithm. CORDIC algorithm can be implemented by only ADD and SHIFT operations and MUSIC spectrum computed by 256 point DFT algorithm. Results of unitary MUSIC algorithm designed by System Generator for FPGA implementation is entirely consistent with Matlab results. Its performance is evaluated through hardware co-simulation and resource estimation.

A Study on Image Reduction Algorithm using Spatial Filter in Salt and Pepper Noise Environments (Salt and Pepper 잡음 환경에서 공간 필터를 이용한 영상 복원 알고리즘에 관한 연구)

  • Kwon, Se-Ik;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.346-349
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    • 2017
  • Digital image processing is widely used in a variety of areas, and noise elimination is used as the preprocessing in all the image processing processes. Degradation is occurred in the image data due to multiple reasons. Degradation is to add the noise in the image signal, and salt and pepper noise is the representative one to cause degradation. Therefore, image restoration algorithm was proposed to process with histogram weight filter and median filter by the noise density of local mask to restore the damaged image in the salt and pepper noise environment, in this article. In addition, it was compared with the existing methods using peak signal to noise ratio(PSNR) as the objective determination factor of improvement effect.

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Direction of Arrival Estimation under Aliasing Conditions (앨리아싱 조건에서의 광대역 음향신호의 방위각 추정)

  • 윤병우
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.1-6
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    • 2003
  • It is difficult to detect and to track the moving targets like tanks and diesel vehicles due to the variety of terrain and moving of targets. It is possible to be happened the aliasing conditions as the difficulty of antenna deployment in the complex environment like the battle fields. In this paper, we study the problem of detecting and tracking of moving targets which are emitting wideband signals under severe spatial aliasing conditions because of the sparse arrays. We developed a direction of arrival(DOA) estimation algorithm based on subband MUSIC(Multiple Signal Classification) method which produces high-resolution estimation. In this algorithm, the true bearings are invariant regardless of changes of frequency bands while the aliased false bearings vary. As a result, the proposed algorithm overcomes the aliasing effects and improves the localization performance in sparse passive arrays.

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Upstream Channel Structure for Bidirectional LMDS using CDMA (CDMA를 이용한 양방향 LMDS 역방향 채널구조)

  • Lim, Hyung-Rae;Park, Sol;Cho, Byung-Lok
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.2
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    • pp.408-414
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    • 1999
  • In this paper, we propose the method using coherent detection with time division multiple pilot signal for each users I reverse CDMA channel as the structure of reverse CDMA channel to apply CDMA to upstream channel of bidirectional LMDS. By using coherent detection with pilot signal in reverse CDMA channel, capacity can be improved when compared with noncoherent detection, but it is required to allocate pilot signal for all user. And then interference is increased due to allocate continuously the pilot signals. In this case channel capacity is decreased. The method f pilot allocation is needed that reduce this interference and keep synchronization effect using coherent detection, In the reverse link, the pilot allocated to each users at different time and not overlapped is possible solution for it. this pilot is proposed and analyzed its performance and capacity. The result is that proposed method has more increased capacity compared wit others.

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Short-term Peak Power Demand Forecasting using Model in Consideration of Weather Variable (기상 변수를 고려한 모델에 의한 단기 최대전력수요예측)

  • 고희석;이충식;최종규;지봉호
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.3
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    • pp.73-78
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    • 2001
  • BP neural network model and multiple-regression model were composed for forecasting the special-days load. Special-days load was forecasted using that neural network model made use of pattern conversion ratio and multiple-regression made use of weekday-change ratio. This methods identified the suitable as that special-days load of short and long term was forecasted with the weekly average percentage error of 1∼2[%] in the weekly peak load forecasting model using pattern conversion ratio. But this methods were hard with special-days load forecasting of summertime. therefore it was forecasted with the multiple-regression models. This models were used to the weekday-change ratio, and the temperature-humidity and discomfort-index as explanatory variable. This methods identified the suitable as that compared forecasting result of weekday load with forecasting result of special-days load because months average percentage error was alike. And, the fit of the presented forecast models using statistical tests had been proved. Big difficult problem of peak load forecasting had been solved that because identified the fit of the methods of special-days load forecasting in the paper presented.

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