Performance Analysis of Blind Adaptive MOE Multiuser Receivers Using Inverse QRD-RLS Algorithm

Elnashar, Ayman; Elnoubi, S.; El-Makati, Hamdi

doi:10.1109/tcsi.2008.919756

Cited by 5 publications

(13 citation statements)

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“… to optimize the unknown signature vector by maximizing the energy of the signal

{boldV}^{H} {\overset{E}{true}}_{{scriptV}_{k} {scriptW}_{normalℓ}} r (t)

at the detector end after suppressing the MAI. The Capon estimation method is one of the optimizations for the unknown signature vector. It can be realized by singular value decomposition (SVD).…”

Section: Simulationmentioning

confidence: 99%

Blind adaptive detection using approximate oblique projector for synchronous DS/CDMA communication

Nagase

Oishi

Furukawa

2019

IEEJ Transactions Elec Engng

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This article presents a blind adaptive detector based on an approximate oblique projector (AOP) for interference cancellation in direct‐sequence code‐division multiple‐access (DS/CDMA) system. An expression for obtaining the AOP from the inverse of the correlation matrix of received signals without a prior knowledge about the structured interference subspace is derived. Applying the matrix inversion lemma to compute the inverse of the correlation matrix is useful for updating the AOP. Simulation results demonstrate that the proposed blind adaptive detector is suitable for a dynamic environment. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“… to optimize the unknown signature vector by maximizing the energy of the signal

{boldV}^{H} {\overset{E}{true}}_{{scriptV}_{k} {scriptW}_{normalℓ}} r (t)

Section: Simulationmentioning

confidence: 99%

Blind adaptive detection using approximate oblique projector for synchronous DS/CDMA communication

Nagase

Oishi

Furukawa

2019

IEEJ Transactions Elec Engng

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“…Adaptive algorithms can be classified into two main categories: non-blind adaptive algorithms and blind adaptive algorithms [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Non-blind adaptive algorithms require the transmission of a pilot training sequence.…”

Section: Introductionmentioning

confidence: 99%

“…To derive a blind adaptive algorithm for STBC-MIMO systems, minimization of the filter output variance was considered in [20,24,27]. If this method is directly applied to the design of receivers of uplink multiuser massive STBC-MIMO communication, two filter weight vectors will be updated independently.…”

Section: Introductionmentioning

confidence: 99%

Blind adaptive receiver for uplink multiuser massive MIMO systems

Shin

Seo

2019

ETRI Journal

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Herein, we consider uplink multiuser massive multiple‐input multiple‐output systems when multiple users transmit information symbols to a base station (BS) by applying simple space‐time block coding (STBC). At the BS receiver, two detection filters for each user are used to detect the STBC information symbols. One of these filters is for odd‐indexed symbols and the other for even‐indexed symbols. Using constrained output variance metric minimization, we first derive a special relation between the closed‐form optimal solutions for the two detection filters. Then, using the derived special relation, we propose a new blind adaptive algorithm for implementing the minimum output variance‐based optimal filters. In the proposed adaptive algorithm, filter weight vectors are updated only in the region satisfying the special relation. Through a theoretical analysis of the convergence speed and a computer simulation, we demonstrate that the proposed scheme exhibits faster convergence speed and lower steady‐state bit error rate than the conventional scheme.

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“…In the case of signal's statistical properties and training sequence unknown, blind adaptive code-aided technique provokes more and more concern [7][8] such as least mean square (LMS) algorithm and recursive least square (RLS) algorithm. To solve the problem of low steady signal to interference and noise rate (SINR) with existent blind adaptive LMS code-aided technique by high power NBI and conflicting with constringency and steady SINR of existent blind adaptive RLS technique, this paper propose blind adaptive LMS prediction and RLS code-aided (RLS-BLMS) technique for AR stochastic process rejection of CDMA communication.…”

Section: Introductionmentioning

confidence: 99%

Blind RLS Prediction and LMS Code-Aided NBI Rejection for CDMA Systems

Yin

Yao

Gao

2013

2013 Fifth International Conference on Measuring Technology and Mechatronics Automation

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In this paper, a blind adaptive recursive least square prediction and least mean square code-aided (RLS-LMS) technique for narrow-band interference (NBI) rejection of code division multiple access (CDMA) system is proposed. This technique is to solve the problem that blind adaptive LMS code-aided technique has poor steady performance and blind adaptive RLS code-aided technique has conflict with constringency and steady performance. Specifically, the proposed technique is against the type of NBI namely autoregressive (AR) stochastic process. The performance of blind adaptive RLS-LMS technique is analyzed and compared with blind adaptive LMS code-aided and blind adaptive RLS code-aided technique. It is seen that this method outperforms current blind adaptive code-aided techniques.Keywords-code division multiple access system; narrow-band interference rejection; blind adaptive code-aided technique; recursive least square; least mean square

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Performance Analysis of Blind Adaptive MOE Multiuser Receivers Using Inverse QRD-RLS Algorithm

Cited by 5 publications

References 0 publications

Blind adaptive detection using approximate oblique projector for synchronous DS/CDMA communication

Blind adaptive detection using approximate oblique projector for synchronous DS/CDMA communication

Blind adaptive receiver for uplink multiuser massive MIMO systems

Blind RLS Prediction and LMS Code-Aided NBI Rejection for CDMA Systems

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