• Title/Summary/Keyword: Multiuser Detector

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A Non-Canonical Linearly Constrained Constant Modulus Algorithm for a Blind Multiuser Detector

  • Jiang, Hong-Rui;Kwak, Kyung-Sup
    • ETRI Journal
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    • v.24 no.3
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    • pp.239-246
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    • 2002
  • We investigate an alternative blind adaptive multiuser detection scheme based on a non-canonical linearly constrained constant modulus (LCCM) criterion and prove that, under the constrained condition, the non-canonical linearly constrained constant modulus algorithm (LCCMA) can completely remove multiple -access interference. We further demonstrate that the non-canonical LCCM criterion function is strictly convex in the noise-free state, and that under the constrained condition, it is also strictly convex even where small noise is present. We present a simple method for selecting the constant as well as a stochastic gradient algorithm for implementing our scheme. Numerical simulation results verify the scheme's efficiency.

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Differencing Multiuser Detection Using Error Feedback Filter for MIMO DS-UWB System in Nakagami Fading Channel

  • Kong, Zhengmin;Fang, Yanjun;Zhang, Yuxuan;Peng, Shixin;Zhu, Guangxi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.10
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    • pp.2601-2619
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    • 2012
  • A differencing multiuser detection (MUD) method is proposed for multiple-input multiple-output (MIMO) direct sequence (DS) ultra-wideband (UWB) system to cope with the multiple access interference (MAI) and the computational efficiency in Nakagami fading channel. The method, which combines a multiuser-interference-cancellation-based decision feedback equalizer using error feedback filter (MIC DFE-EFF), a coefficient optimization algorithm (COA) and a differencing algorithm (DA), is termed as MIC DFE-EFF (COA) with DA for short. In the paper, the proposed MUD method is illuminated from the rudimental MIC DFE-EFF to the advanced MIC DFE-EFF (COA) with DA step by step. Firstly, the MIC DFE-EFF system performance is analyzed by minimum mean square error criterion. Secondly, the COA is investigated for optimization of each filter coefficient. Finally, the DA is introduced to reduce the computational complexity while sacrificing little performance. Simulations show a significant performance gain can be achieved by using the MIC DFE-EFF (COA) with DA detector. The proposed MIC DFE-EFF (COA) with DA improves both bit error rate performance and computational efficiency relative to DFE, DFE-EFF, parallel interference cancellation (PIC), MIC DFE-EFF and MIC DFE-EFF with DA, though it sacrifices little system performance, compared with MIC DFE-EFF (COA) without DA.

Performance Evaluation of a Genetic Algorithm-Based Multiuser Detector (유전자 알고리즘 기반 다중사용자 복조기의 성능 평가)

  • 김동호;정희창;김성철;이연우
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.7A
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    • pp.1227-1233
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    • 2001
  • 본 논문에서는 유전자 알고리즘을 기반으로 한 새로운 다중사용자 복조기를 제안하고, 최적(optimum) 다중사용자 복조기의 Hopfield 신경망 다중사용자 복조기를 비교 대상으로 하여 원근문제가 존재하는 환경에서 컴퓨터 시뮬레이션을 통해서 비트오율 성능을 비교하였다. 시뮬레이션 결과, 원근문제에 존재하는 채널환경에서는 본 논문에서 제안한 구조는 상당히 적은 계산량으로 최적의 다중사용자 복조기와 Hopfield 다중사용자 복조기와 근접한 성능을 기대할 수 있었고, 원근문제가 존재하지 않는 경우에서는 Hopfield 신경망구조보다 우월한 성능향상을 얻을 수 있었다.

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Fuzzy-ARTMAP based Multi-User Detection

  • Lee, Jung-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.3A
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    • pp.172-178
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    • 2012
  • This paper studies the application of a fuzzy-ARTMAP (FAM) neural network to multi-user detector (MUD) for direct sequence (DS)-code division multiple access (CDMA) system. This method shows new solution for solving the problems, such as complexity and long training, which is found when implementing the previously developed neural-basis MUDs. The proposed FAM based MUD is fast and easy to train and includes capabilities not found in other neural network approaches; a small number of parameters, no requirements for the choice of initial weights, automatic increase of hidden units, no risk of getting trapped in local minima, and the capabilities of adding new data without retraining previously trained data. In simulation studies, binary signals were generated at random in a linear channel with Gaussian noise. The performance of FAM based MUD is compared with other neural net based MUDs in terms of the bit error rate.

Adaptive Detector Design for the Performance Improvement of Massive Antenna Systems (대용량 안테나 시스템의 성능 향상을 위한 적응형 검파기 설계)

  • Seo, Bangwon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.1
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    • pp.43-48
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    • 2021
  • One of the effective ways to increase data transmission rate is to use massive antenna technique where tens or hundreds of antennas are deployed in base station and spatial diversity gain is improved by multiuser method. If multiuser method is applied, there will be inter-user interference and maximal ratio combiner (MRC) is conventionally used to reduce the complexity of the receiver and to eliminate interference. However, as the number of mobile devices increases, the performance of the conventional receiver becomes deteriorated. To solve this problem, we propose a new detector that completely eliminates the interference from the registered devices and reduces that from the unregistered devices. Then, to reduce the complexity of the proposed scheme, we propose adaptive algorithm of the proposed scheme. Through simulation, we show that the proposed scheme has better bit error rate performance than the conventional scheme.

Multi-User Detection using Support Vector Machines

  • Lee, Jung-Sik;Lee, Jae-Wan;Hwang, Jae-Jeong;Chung, Kyung-Taek
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12C
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    • pp.1177-1183
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    • 2009
  • In this paper, support vector machines (SVM) are applied to multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work shows an analytical performance of SVM based multi-user detector with some of kernel functions, such as linear, sigmoid, and Gaussian. The basic idea in SVM based training is to select the proper number of support vectors by maximizing the margin between two different classes. In simulation studies, the performance of SVM based MUD with different kernel functions is compared in terms of the number of selected support vectors, their corresponding decision boundary, and finally the bit error rate. It was found that controlling parameter, in SVM training have an effect, in some degree, to SVM based MUD with both sigmoid and Gaussian kernel. It is shown that SVM based MUD with Gaussian kernels outperforms those with other kernels.

Performance Improvement in Optical CDMA System Under The Presence of Beat Noise Using a Cancellation Method

  • Benaree, Warut;Noppanakeepong, Suthichai;Leelaruji, Nipha
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1206-1210
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    • 2005
  • This paper presents performance improvement in optical CDMA system under the presence of beat noise using a cancellation technique. Optical fibers and atmospheric optical communications have been proposed the connection between base stations and central station. The optical signal beat noise is due to interference between lightwave, many optical waves are simultaneously incident on each receiver photodiode. Since the photodiode acts as a square-law detector, beat noise can occur in the receiver. While A two-stage cancellation technique is analyzed and verified via simulation employed here because of its system simplicity. By using the random ingredients of all user signals are estimated, the beat noise is rebuilt and removed from the intended signal. In addition to cancellation technique cancel the inherent multiuser interference (MUI) in CDMA system and nonlinear distortion (NLD) in optical system. It is performed at the receiver of the central station where the random ingredients of all user signals are estimated and the MUI and the NLD are rebuilt and removed from the received signal. The validity of the cancellation technique is theoretically analyzed and shown by numerical results. The increasing of capacity in two stage cancellation are obtained.

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Analysis of Adaptive Multiuser Detector using the improved input Signal (개선된 입력 신호를 사용한 적응형 간섭 제거기에 관한 분석)

  • 염순진;염순진
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8A
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    • pp.1198-1205
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    • 2000
  • In this paper, we introduce a modified interference cancellation scheme to overcome MAI in DS-CDMA. Among ICs(Interference Cancellers), PIC(Parallel IC) requires the more complexity, and SIC(Successive IC) faces the problems of the long delay time. Most of all, the adaptive detector achieves the good BER performance using the adaptive Inter conducted iteration algorithm. So it requires many iterations. To resolve the problems of them, we propose an improved adaptive detector that the received signal removed MAI through the sorting scheme and the cancellation method are fed into the adaptive filter. Because the improved input signal is fed into the adaptive filter, it has the same BER performance only using smaller iterations than the conventional adaptive detector, and the proposed detector having adaptive filter requires less complexity than the other detectors.

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Suboptimal Receiver Combining Adaptive Array Antenna and Orthogonal Decision-Feedback Detector (적응 배열 안테나에 부귀환 직교 다중사용자 검출기를 결합한 준 최적 수신기)

  • Jo, Yeong-Pil;Kim, Jong-Mun;Gwak, Gyeong-Seop
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.39 no.8
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    • pp.26-32
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    • 2002
  • In this paper, we propose a suboptimal receiver combining adaptive array antenna and orthogonal decision-feedback detector in DS/CDMA system. Adaptive way antenna can cancel out undesired signal using beamforming scheme. However, if there are interfering signals from undesired users with the same incident angle as that of a desired user, an adaptive array antenna cannot suppress them. The proposed receiver can cancel out remaining interference from users having nearly the same beam pattern. And we employ Orthogonal Decision-Feedback Detector (ODFD) as Multiuser detection. The ODFD performs as good as the decorrelating decision -feedback detector (DDFD) with much less complexity. Simulation results show that the proposed system provides a significantly enhanced performance.