Time-Hopping UWB Multiuser Detection Using Adaptive Multistage Matrix Wiener Filtering Schemes

Hu, Chia-Chang; Lin, Hsuan‐Yu; Liu, Tsung-Hsien; Cheng, Yongsheng

doi:10.1109/icc.2007.420

Cited by 7 publications

(10 citation statements)

References 16 publications

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“…Here assume x 0 and d 0 are as follows [9]: Thus, Ref. [4] improves original MSWF. The specific expression of the null space B i can be described as following:…”

Section: Figure 2the Combined Multiresolution Gramschmidt Interpretamentioning

confidence: 99%

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A Fast Estimation of Multipath Delay Using Chirp Signal

Song

Zhuo

Wang

2010

2010 International Conference on Communications and Mobile Computing

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To study the multipath channel, which contains additive colored noise, in the chirp spread spectrum system, an efficient and fast algorithm was proposed to estimate multipath delay. Firstly, the impulse compress property of the chirp signal is used to obtain a cursory estimation. Subsequently the fourth-order cumulant matrix is decomposed by MSWF to calculate the number of multipath. The final estimation of multipath delay was calculated by the decorrelation MUSIC algorithm. In the last sections, a simulation which uses the channel of IEEE802.15.4a as a transmit environment is introduced to testify the feasibility of the new algorithm. The algorithm proposed in this paper has high precision and low computational complexity.

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“…Here assume x 0 and d 0 are as follows [9]: Thus, Ref. [4] improves original MSWF. The specific expression of the null space B i can be described as following:…”

Section: Figure 2the Combined Multiresolution Gramschmidt Interpretamentioning

confidence: 99%

“…Then, MSWF is used in interference suppression, channel equalization [3] and etc. Recently it is also applied in multi-user detection in time hopping UWB and iterative receiver in SIMO frequency selective channel [4] [5].…”

Section: Introductionmentioning

confidence: 99%

A Fast Estimation of Multipath Delay Using Chirp Signal

Song

Zhuo

Wang

2010

2010 International Conference on Communications and Mobile Computing

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“…The 2‐to‐1 FIS 20, based on the principle of fuzzy logic 12, 21, uses the squared‐error ( e 2 ( i )) and the squared‐error variation (Δ e 2 ( i )) as the input variables at time i to assign the number of the filter‐stage M ( i + 1). That is, where e ( i ) = b ( i ) − W H ( i ) r ( i ), e 2 ( i ) = ( e H ( i ) e ( i ))/ J , and Δ e 2 ( i ) = | e 2 ( i ) − e 2 ( i − 1)|.…”

Section: Reduced‐rank Mmwf Schemementioning

confidence: 99%

Reduce‐complexity fuzzy‐inference‐based iterative multiuser detection for wireless communication systems

Hung

Wen

2011

Int J Communication

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SUMMARY In recent years, combining multiuser detection and intelligence computer scheme have received considerable attention. In this paper, adaptive fuzzy‐inference multistage matrix wiener filtering (FI‐MMWF) techniques, based on the minimum mean‐square error criterion, are proposed for ultra‐wideband (UWB) impulse radio communication systems. These FI‐MMWF‐based algorithms employ a time‐varying fuzzy‐inference‐controlled filter stage. Consequently, the proposed approaches accomplish a substantial saving in complexity without trading off the system performance and dynamic‐tracking characteristic. In addition, the fuzzy‐logic‐controlled matrix conjugate gradient algorithm is adopted to reduce the system complexity without trading off the bit‐error‐rate (BER). Simulations are conducted to evaluate the convergence and tracking behavior of the proposed MMWF algorithm, and the BER of the time‐hopping‐UWB system in a realistic UWB channel is investigated. Copyright © 2011 John Wiley & Sons, Ltd.

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“…[4]. [8]. These RR-MMWF-based algorithms employ an adaptive fuzzy-inference determined filter stage.…”

Section: Introductionmentioning

confidence: 99%

Fixed-point blind adaptive multiuser detection algorithm for IR UWB systems in multipath channel

Wang

2010

J. Electron.(China)

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Using the hypothesis that data transmitted by different users are statistically independent of each other, this paper proposes a fixed-point blind adaptive multiuser detection algorithm for Time-Hopping (TH) Impulse Radio (IR) Ultra Wide Band (UWB) systems in multipath channel, which is based on Independent Component Analysis (ICA) idea. The proposed algorithm employs maximizing negentropy criterion to separate the data packets of different users. Then the user characteristic sequences are utilized to identify the data packet order of the desired user. This algorithm only needs the desired user's characteristic sequence instead of channel information, power information and time-hoping code of any user. Due to using hypothesis of statistical independence among users, the proposed algorithm has the outstanding Bit Error Rate (BER) performance and the excellent ability of near-far resistance. Simulation results demonstrate that this algorithm has the performance close to that of Maximum-Likelihood (ML) algorithm and is a suboptimum blind adaptive multiuser detection algorithm of excellent near-far resistance and low complexity.

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Time-Hopping UWB Multiuser Detection Using Adaptive Multistage Matrix Wiener Filtering Schemes

Cited by 7 publications

References 16 publications

A Fast Estimation of Multipath Delay Using Chirp Signal

A Fast Estimation of Multipath Delay Using Chirp Signal

Reduce‐complexity fuzzy‐inference‐based iterative multiuser detection for wireless communication systems

Fixed-point blind adaptive multiuser detection algorithm for IR UWB systems in multipath channel

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