Co-channel interference cancelling receiver for TDMA mobile systems

Ranta, P.A.; Hottinen, A.; Honkasalo, Zhi‐Chun

doi:10.1109/icc.1995.525131

Cited by 92 publications

(15 citation statements)

References 9 publications

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“…Otherwise, nonlinear techniques should be used in single antenna receivers. Various single antenna interference cancellation (SAIC) techniques have been proposed for time division multiple access (TDMA) based cellular systems to mitigate the intercell interference [4]- [7]. By means of SAIC, interference is removed from the desired signals using either filter-based approaches or multi-user detection techniques [8] when only single antenna is available at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Multi‐group linear turbo equalization with intercell interference cancellation for MC‐CDMA cellular systems

Nguyen

Choi²,

Kim

et al. 2010

Wireless Communications

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SummaryIn this paper, we investigate multi-group linear turbo equalization using single antenna interference cancellation (SAIC) techniques to mitigate the intercell interference for multicarrier code division multiple access (MC-CDMA) cellular systems. It is important for the mobile station to mitigate the intercell interference as the performance of the users close to cell edge is mainly degraded by the intercell interference. The complexity of the proposed iterative detector and receiver is low as the one-tap minimum mean square error (MMSE) equalizer is employed for mitigating the intracell interference, while a simple group interference canceller is used for suppressing the intercell interference. Simulation results show that the proposed iterative detector and receiver can mitigate the intercell interference effectively through iterations for both uncoded and coded signals.KEY WORDS: iterative receiver; frequency-domain MMSE equalizer; single antenna interference cancellation (SAIC); multicarrier code division multiple access (MC-CDMA); intercell interference

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Section: Introductionmentioning

confidence: 99%

Multi‐group linear turbo equalization with intercell interference cancellation for MC‐CDMA cellular systems

Nguyen

Choi²,

Kim

et al. 2010

Wireless Communications

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“…The proposed receiver does not require knowledge of signal amplitude or noise power. Ranta, et al, [81] propose a method of exploiting the independently fading multipath channels to provide separation of transmit waveforms to be used in joint demodulation.…”

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confidence: 99%

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Meehan¹,

Kragh²,

Clark³

2007

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government.Approved for public release; distribution is unlimited.Reception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. The low-entropy properties of a particular signal of interest, the Automatic Identification System (AIS), are presented. Prediction methods are developed for this signal to be used as a priori information for a joint field-based maximum a posteriori (MAP) detector. Advanced joint detection techniques to mitigate cochannel interference are found to have superior bit error rate (BER) performance than can be obtained compared to traditional methods. ABSTRACTReception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm.

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“…The complexity can be further reduced by applying the principles of decision feedback [4], [3] and/or set partitioning [4]. Given perfect knowledge of all data sequences and assuming block fading, the optimal channel estimator in terms of joint least-squares channel estimation can be written as [7] f = (C H C) −1 C H y.…”

Section: Channel Modelmentioning

confidence: 99%

Single antenna interference cancellation: iterative semi-blind algorithm and performance bound for joint maximum-likelihood interference cancellation

Schoeneich

Hoeher

GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)

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In the first part, an iterative receiver for joint channel estimation and cochannel interference cancellation suitable for time-division multiple-access (TDMA) cellular radio systems is proposed. The receiver is based on joint maximum-likelihood sequence estimation (JMLSE). It is blind with respect to the data of the interfering users but training-based with respect to the data of the desired user and is therefore referred to as semi-blind. As opposed to concurrent receiver structures where the number of receiving antennas must exceed the number of cochannel interferers, the proposed receiver is suitable for just one receive antenna. No knowledge on the burst structure of the interferer is used. Hence, the proposed receiver is suitable for (but not restricted to) the downlink in asynchronous networks. The proposed receiver is able to operate at a signal/interference ratio of 0 dB in asynchronous GSM/GPRS networks given a single dominating interferer. Furthermore, the results indicate that with proper interference cancellation it is not necessary to synchronize GSM/GPRS networks.In the second part, a lower bound on the bit error probability for joint maximum-likelihood sequence estimation in the presence of cochannel interference (CCI) and intersymbol interference (ISI) is presented. This lower bound is valid for an arbitrary number of interferers.

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Co-channel interference cancelling receiver for TDMA mobile systems

Cited by 92 publications

References 9 publications

Multi‐group linear turbo equalization with intercell interference cancellation for MC‐CDMA cellular systems

Multi‐group linear turbo equalization with intercell interference cancellation for MC‐CDMA cellular systems

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Single antenna interference cancellation: iterative semi-blind algorithm and performance bound for joint maximum-likelihood interference cancellation

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