Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators

Lamare, Rodrigo C. de; Sampaio‐Neto, Raimundo

doi:10.1109/lsp.2004.842290

Cited by 137 publications

(147 citation statements)

References 6 publications

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“…These remedies imply in augmented Þlter lengths and consequently increased computational complexity. To alleviate for the increase in Þlter length and the increased amount of training, the designer can resort to reduced-rank estimation techniques such as the Multistage Wiener Filter, as in [14], or to a new very promising technique that employs interpolated FIR Þlters [25].…”

Section: Extensionsmentioning

confidence: 99%

Minimum Mean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

Lamare

Sampaio‐Neto

2006

2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications

116

162

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ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Abstract-In this paper we propose minimum mean squared error (MMSE) iterative successive parallel arbitrated decision feedback (DF) receivers for direct sequence code division multiple access (DS-CDMA) systems. We describe the MMSE design criterion for DF multiuser detectors along with successive, parallel and iterative interference cancellation structures. A novel efÞcient DF structure that employs successive cancellation with parallel arbitrated branches and a near-optimal low complexity user ordering algorithm are presented. The proposed DF receiver structure and the ordering algorithm are then combined with iterative cascaded DF stages for mitigating the deleterious effects of error propagation for convolutionally encoded systems with both Viterbi and turbo decoding as well as for uncoded schemes. We mathematically study the relations between the MMSE achieved by the analyzed DF structures, including the novel scheme, with imperfect and perfect feedback. Simulation results for an uplink scenario assess the new iterative DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation methods against existing ones.Index Terms-DS-CDMA systems, multiuser detection, decision feedback structures, iterative detection, iterative decoding.

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Section: Extensionsmentioning

confidence: 99%

Minimum Mean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

Lamare

Sampaio‐Neto

2006

2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications

116

162

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“…Furthermore, as the channel is time-varying, the detection subspace is also updated with the detected data bits, which updates S S SU according to the equation [17] S S SU (i + 1) = S S SU (i) + ηDD ||w w w1(i)|| 2 ||y y yi|| 2ē * (i)y y yiw w w…”

Section: Adaptive Reduced-rank Detection Algorithmmentioning

confidence: 99%

Low-Complexity Reduced-Rank Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems

Ahmed

Yang

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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Abstract-In this contribution reduced-rank adaptive minimum meansquare error multiuser detector (MMSE-MUD) is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The adaptive MMSE-MUD is operated based on the normalised least mean-square (NLMS) principles associated with using Taylor polynomial approximation (TPA)-assisted reduced-rank technique. It can be shown that the reduced-rank adaptive technique is beneficial to achieving low-complexity, high convergence speed and robust detection in hybrid DS-TH UWB systems. In this contribution bit-error-rate (BER) performance of the hybrid DS-TH UWB systems using proposed reducedrank adaptive MMSE-MUD is investigated, when communicating over UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our simulation results show that the TPA-assisted reduced-rank adaptive MMSE-MUD is capable of achieving a similar BER performance as that of the full-rank adaptive MMSE-MUD but with significantly lower detection complexity.

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“…These two algorithms are the most classical algorithms that have been applied in channel estimation and echo cancellation in recent decades. Furthermore, set-membership (SM) filtering techniques have been proposed not only to reduce the computational burden but also to improve the estimation performance [4][5][6][7][8][9][10][11][12][13][14][15]. The SM filtering technique utilizes a special bound on the magnitude of the estimation error to split the adaptive filtering algorithms into two steps: (1) the first step is the information evaluation; (2) the second step is parameter update.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation

Jin

Wang

2017

Entropy

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Abstract:In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation. The CIM is used for constructing a new cost function within the kernel framework. The proposed CIM penalized SM-PNLMS (CIMSM-PNLMS) algorithm is derived and analyzed in detail. A desired zero attraction term is put forward in the updating equation of the proposed CIMSM-PNLMS algorithm to force the inactive coefficients to zero. The performance of the proposed CIMSM-PNLMS algorithm is investigated for estimating an underwater communication channel estimation and an echo channel. The obtained results demonstrate that the proposed CIMSM-PNLMS algorithm converges faster and provides a smaller estimation error in comparison with the NLMS, PNLMS, IPNLMS, SM-PNLMS and zero-attracting SM-PNLMS (ZASM-PNLMS) algorithms.Keywords: set-membership proportionate normalized least mean square; sparse adaptive filtering; PNLMS algorithm; zero attracting algorithm; correntropy induced metric (CIM)

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Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators

Cited by 137 publications

References 6 publications

Minimum Mean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

Minimum Mean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems

Low-Complexity Reduced-Rank Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems

An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation

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