Relevant bibliographies by topics / Channel estimation errors

Academic literature on the topic 'Channel estimation errors'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Channel estimation errors"

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Kim, Tae-Kyoung, and Moonsik Min. "A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems." Sensors 22, no. 12 (June 9, 2022): 4379. http://dx.doi.org/10.3390/s22124379.

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This paper proposes a low-complexity algorithm for a reinforcement learning-based channel estimator for multiple-input multiple-output systems. The proposed channel estimator utilizes detected symbols to reduce the channel estimation error. However, the detected data symbols may include errors at the receiver owing to the characteristics of the wireless channels. Thus, the detected data symbols are selectively used as additional pilot symbols. To this end, a Markov decision process (MDP) problem is defined to optimize the selection of the detected data symbols. Subsequently, a reinforcement learning algorithm is developed to solve the MDP problem with computational efficiency. The developed algorithm derives the optimal policy in a closed form by introducing backup samples and data subblocks, to reduce latency and complexity. Simulations are conducted, and the results show that the proposed channel estimator significantly reduces the minimum-mean square error of the channel estimates, thus improving the block error rate compared to the conventional channel estimation.
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Larsson, E. G. "Diversity and Channel Estimation Errors." IEEE Transactions on Communications 52, no. 2 (February 2004): 205–8. http://dx.doi.org/10.1109/tcomm.2003.822731.

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Kyritsi, P., R. A. Valenzuela, and D. C. Cox. "Channel and capacity estimation errors." IEEE Communications Letters 6, no. 12 (December 2002): 517–19. http://dx.doi.org/10.1109/lcomm.2002.806446.

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ur Rehman, Junaid, and Hyundong Shin. "Entanglement-Free Parameter Estimation of Generalized Pauli Channels." Quantum 5 (July 1, 2021): 490. http://dx.doi.org/10.22331/q-2021-07-01-490.

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We propose a parameter estimation protocol for generalized Pauli channels acting on d-dimensional Hilbert space. The salient features of the proposed method include product probe states and measurements, the number of measurement configurations linear in d, minimal post-processing, and the scaling of the mean square error comparable to that of the entanglement-based parameter estimation scheme for generalized Pauli channels. We also show that while measuring generalized Pauli operators the errors caused by the Pauli noise can be modeled as measurement errors. This makes it possible to utilize the measurement error mitigation framework to mitigate the errors caused by the generalized Pauli channels. We use this result to mitigate noise on the probe states and recover the scaling of the noiseless probes, except with a noise strength-dependent constant factor. This method of modeling Pauli channel as measurement noise can also be of independent interest in other NISQ tasks, e.g., state tomography problems, variational quantum algorithms, and other channel estimation problems where Pauli measurements have the central role.
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Gao, Heli, Jie Chen, Shaun Quegan, Wei Yang, and Chunsheng Li. "Parameter Estimation and Error Calibration for Multi-Channel Beam-Steering SAR Systems." Remote Sensing 11, no. 12 (June 14, 2019): 1415. http://dx.doi.org/10.3390/rs11121415.

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Multi-channel beam-steering synthetic aperture radar (multi-channel BS-SAR) can achieve high resolution and wide-swath observations by combining beam-steering technology and azimuth multi-channel technology. Various imaging algorithms have been proposed for multi-channel BS-SAR but the associated parameter estimation and error calibration have received little attention. This paper focuses on errors in the main parameters in multi-channel BS-SAR (the derotation rate and constant Doppler centroid) and phase inconsistency errors. These errors can significantly reduce image quality by causing coarser resolution, radiometric degradation, and appearance of ghost targets. Accurate derotation rate estimation is important to remove the spectrum aliasing caused by beam steering, and spectrum reconstruction for multi-channel sampling requires an accurate estimate of the constant Doppler centroid and phase inconsistency errors. The time shift and scaling effect of the derotation error on the azimuth spectrum are analyzed in this paper. A method to estimate the derotation rate is presented, based on time shifting, and integrated with estimation of the constant Doppler centroid. Since the Doppler histories of azimuth targets are space-variant in multi-channel BS-SAR, the conventional estimation methods of phase inconsistency errors do not work, and we present a novel method based on minimum entropy to estimate and correct these errors. Simulations validate the proposed error estimation methods.
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Kim, Jung-Bin, and In-Ho Lee. "Outage Analysis of Partial Relay Selection Schemes with Feedback Delay and Channel Estimation Errors in Nonidentical Rayleigh Fading Channels." International Journal of Antennas and Propagation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1862391.

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This paper investigates the impact of the channel estimation error and outdated channel state information (CSI) on the outage performances of partial relay selection (PRS) and efficient partial relay selection (EPRS). Considering imperfect channel estimation and outdated CSI with decode-and-forward (DF) relaying strategy, closed-form expressions for exact outage probabilities and asymptotic outage probabilities for PRS and EPRS are provided assuming independent and nonidentically distributed Rayleigh fading channels. Numerical investigations verify the analytical expression for outage probability and show how much performance is degraded by the channel estimation errors and the feedback delay that causes the outdated CSI.
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Chen, Xiao Min, Xiao Dan Yu, Wei Tan, and Xiang Bin Yu. "Iterative Detection Scheme for Turbo-BLAST System with Adaptive Power Allocation in the Presence of Channel State Information Imperfection." Advanced Materials Research 646 (January 2013): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amr.646.120.

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We propose an iterative detection scheme for Turbo-BLAST system with optimal power allocation in the presence of channel state information imperfection. The proposed scheme uses the channel estimation matrix for detection and treats the interference caused by channel estimation errors and additive white Gaussian noise as equivalent noise where the channel estimation matrix and the statistical characteristic of channel estimation errors are necessitated. Simulation results show the proposed algorithm is effective to improve bit error rate (BER) performance through iterative detection for modified Turbo-BLAST system with optimal power allocation in the presence of imperfect channel state information.
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Rim, Minjoong, and Chung Kang. "Uplink Non-Orthogonal Multiple Access with Channel Estimation Errors for Internet of Things Applications." Sensors 19, no. 4 (February 21, 2019): 912. http://dx.doi.org/10.3390/s19040912.

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One of the key requirements for next generation wireless or cellular communication systems is to efficiently support a large number of connections for Internet of Things (IoT) applications, and uplink non-orthogonal multiple access (NOMA) schemes can be used for this purpose. In uplink NOMA systems, pilot symbols, as well as data symbols can be superimposed onto shared resources. The error rate performance can be severely degraded due to channel estimation errors, especially when the number of superimposed packets is large. In this paper, we discuss uplink NOMA schemes with channel estimation errors, assuming that quadrature phase shift keying (QPSK) modulation is used. When pilot signals are superimposed onto the shared resources and a large number of devices perform random accesses concurrently to a single resource of the base station, the channels might not be accurately estimated even in high SNR environments. In this paper, we propose an uplink NOMA scheme, which can alleviate the performance degradation due to channel estimation errors.
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Costa, Bruno Felipe, and Taufik Abrão. "MIMO Precoding for Correlated Fading Channels." Journal of Circuits, Systems and Computers 25, no. 05 (February 25, 2016): 1650041. http://dx.doi.org/10.1142/s0218126616500419.

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This contribution proposes a precoder-decoder design aiming to improve the performance of multiple-input–multiple-output (MIMO) detectors under correlated fading channels. The MIMO detection principle namely minimum mean squared error (MMSE) detector is analyzed under such channel condition. The proposed approach deploys the channel state information (CSI) aiming to estimate the level of spatial correlation channel, namely normalized correlation index [Formula: see text] and uses this information to improve the MIMO system performance. Furthermore, the impact of the [Formula: see text] estimation errors on the performance, as well the performance degradation for different levels of correlation have been analyzed and compared with the classical MMSE-MIMO detector operating under uncorrelated channels and perfect channel estimation.
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Narasimhan, R. "Error Propagation Analysis of V-BLAST With Channel-Estimation Errors." IEEE Transactions on Communications 53, no. 1 (January 2005): 27–31. http://dx.doi.org/10.1109/tcomm.2004.840670.

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Dissertations / Theses on the topic "Channel estimation errors"

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Yadav, A. (Animesh). "Space-time constellation and precoder design under channel estimation errors." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526202143.

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Abstract Multiple-input multiple-output transmitted signal design for the partially coherent Rayleigh fading channels with discrete inputs under a given average transmit power constraint is consider in this thesis. The objective is to design the space-time constellations and linear precoders to adapt to the degradation caused by the imperfect channel estimation at the receiver and the transmit-receive antenna correlation. The system is partially coherent so that the multiple-input multiple-output channel coefficients are estimated at the receiver and its error covariance matrix is fed back to the transmitter. Two constellation design criteria, one for the single and another for the multiple transmit antennae are proposed. An upper bound on the average bit error probability for the single transmit antenna and cutoff rate, i.e., a lower bound on the mutual information, for multiple transmit antennae are derived. Both criteria are functions of channel estimation error covariance matrix. The designed constellations are called as partially coherent constellation. Additionally, to use the resulting constellations together with forward error control codes requires efficient bit mapping schemes. Because these constellations lack geometrical symmetry in general, the Gray mapping is not always possible in the majority of the constellations obtained. Moreover, different mapping schemes may lead to highly different bit error rate performances. Thus, an efficient bit mapping algorithm called the modified binary switching algorithm is proposed. It minimizes an upper bound on the average bit error probability. It is shown through computer simulations that the designed partially coherent constellation and their optimized bit mapping algorithm together with turbo codes outperform the conventional constellations. Linear precoder design was also considered as a simpler, suboptimal alternative. The cutoff rate expression is again used as a criterion to design the linear precoder. A linear precoder is obtained by numerically maximizing the cutoff rate with respect to the precoder matrix with a given average transmit power constraint. Furthermore, the precoder matrix is decomposed using singular-value-decomposition into the input shaping, power loading, and beamforming matrices. The beamforming matrix is found to coincide with the eigenvectors of the transmit correlation matrix. The power loading and input shaping matrices are solved numerically using the difference of convex functions programming algorithm and optimization under the unitary constraint, respectively. Computer simulations show that the performance gains of the designed precoders are significant compared to the cutoff rate optimized partially coherent constellations without precoding
Tiivistelmä Väitöskirjassa tarkastellaan lähetyssignaalien suunnittelua osittain koherenteissa Rayleigh-häipyvissä kanavissa toimiviin monitulo-monilähtöjärjestelmiin (MIMO). Lähettimen keskimääräinen lähetysteho oletetaan rajoitetuksi ja lähetyssignaali diskreetiksi. Tavoitteena on suunnitella tila-aikakonstellaatioita ja lineaarisia esikoodereita jotka mukautuvat epätäydellisen kanavaestimoinnin aiheuttamaan suorituskyvyn heikkenemiseen sekä lähetin- ja vastaanotinantennien väliseen korrelaatioon. Tarkasteltavien järjestelmien osittainen koherenttisuus tarkoittaa sitä, että MIMO-kanavan kanavakertoimet estimoidaan vastaanottimessa, josta niiden virhekovarianssimatriisi lähetetään lähettimelle. Työssä esitetään kaksi konstellaatiosuunnittelukriteeriä, toinen yhdelle lähetinantennille ja toinen moniantennilähettimelle. Molemmat kriteerit ovat kanavan estimaatiovirheen kovarianssimatriisin funktioita. Työssä johdetaan yläraja keskimääräiselle bittivirhetodennäköisyydelle yhden lähetinantennin tapauksessa sekä rajanopeus (cutoff rate), joka on alaraja keskinäisinformaatiolle, usean lähetinantennin tapauksessa. Konstellaatioiden käyttö yhdessä virheenkorjauskoodien kanssa edellyttää tehokaita menetelmiä, joilla bitit kuvataan konstellaatiopisteisiin. Koska tarvittavat konstellaatiot eivät ole tyypillisesti geometrisesti symmetrisiä, Gray-kuvaus ei ole yleensä mahdollinen.Lisäksi erilaiset kuvausmenetelmät voivat johtaa täysin erilaisiin bittivirhesuhteisiin. Tästä johtuen työssä esitetään uusi kuvausalgoritmi (modified bit switching algorithm), joka minimoi keskimääräisen bittivirhetodennäköisyyden ylärajan. Simulointitulokset osoittavat, että työssä kehitetyt konstellaatiot antavat paremman suorituskyvyn turbokoodatuissa järjestelmissä kuin perinteiset konstellaatiot. Työssä tarkastellaan myös lineaarista esikoodausta yksinkertaisena, alioptimaalisena vaihtoehtona uusille konstellaatioille. Esikoodauksen suunnittelussa käytetään samaa kriteeriä kuin konstellaatioiden kehityksessä eli rajanopeutta. Lineaarinen esikooderi löydetään numeerisesti maksimoimalla rajanopeus kun rajoitusehtona on lähetysteho. Esikoodausmatriisi hajotetaan singulaariarvohajotelmaa käyttäen esisuodatus, tehoallokaatio ja keilanmuodostusmatriiseiksi, jonka havaitaan vastaavan lähetyskorrelaatiomatriisin ominaisvektoreita. Tehoallokaatiomatriisi ratkaistaan numeerisesti käyttäen difference of convex functions -optimointia ja esisuodatusmatriisi optimoinnilla unitaarista rajoitusehtoa käyttäen. Simulaatiotulokset osoittavat uusien esikoodereiden tarjoavan merkittävän suorituskykyedun sellaisiin rajanopeusoptimoituihin osittain koherentteihin konstellaatioihin nähden, jotka eivät käytä esikoodausta
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Menon, Rekha. "Impact of Channel Estimation Errors on Space Time Trellis Codes." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/36490.

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Space Time Trellis Coding (STTC) is a unique technique that combines the use of multiple transmit antennas with channel coding. This scheme provides capacity benefits in fading channels, and helps in improving the data rate and reliability of wireless communication. STTC schemes have been primarily designed assuming perfect channel estimates to be available at the receiver. However, in practical wireless systems, this is never the case. The noisy wireless channel precludes an exact characterization of channel coefficients. Even near-perfect channel estimates can necessitate huge overhead in terms of processing or spectral efficiency. This practical concern motivates the study of the impact of channel estimation errors on the design and performance of STTC.

The design criteria for STTC are validated in the absence of perfect channel estimates at the receiver. Analytical results are presented that model the performance of STTC systems in the presence of channel estimation errors. Training based channel estimation schemes are the most popular choice for STTC systems. The amount of training however, increases with the number of transmit antennas used, the number of multi-path components in the channel and a decrease in the channel coherence time. This dependence is shown to decrease the performance gain obtained when increasing the number of transmit antennas in STTC systems, especially in channels with a large Doppler spread (low channel coherence time). In frequency selective channels, the training overhead associated with increasing the number of antennas can be so large that no benefit is shown to be obtained by using STTC.

The amount of performance degradation due to channel estimation errors is shown to be influenced by system parameters such as the specific STTC code employed and the number of transmit and receive antennas in the system in addition to the magnitude of the estimation error. Hence inappropriate choice of system parameters is shown to significantly alter the performance pattern of STTC.

The viability of STTC in practical wireless systems is thus addressed and it is shown that that channel estimation could offset benefits derived from this scheme.


Master of Science
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Zhu, Chao. "Performance Analysis of Minimum Selection GSC with Channel Estimation Errors in Rayleigh Fading Channels." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250184723.

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Baykas, Tuncer. "Effects of spatial correlation and channel estimation errors on the performance of space-time block coded systems." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6147.

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Today's wireless communication systems require more efficiency in terms of data rate. One of the ways to improve channel capacity of such systems is to utilize diversity. Space-time block codes provide transmit diversity gain without any significant increase in complexity of systems. However in some cases, the gain by utilizing diversity decreases due to some factors. In this work we studied two of these factors and their effects to several space-time block coded systems. The first factor is the spatial correlation among channels and the second factor is channel estimation errors. Both of these factors are experienced in real life situations. The systems under consideration are 2, 3 and 4 antenna orthogonal and quasi-orthogonal space-time block coded systems. We have also compared the results with the maximum ratio combining schemes with 2 and 4 receiver antennas.
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Chong, Lucy Lok-Kwan. "The effects of channel estimation errors on wideband CDMA systems with path, frequency, time, and space diversity /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p3029641.

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Irshad, Yasir. "On some continuous-time modeling and estimation problems for control and communication." Doctoral thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-26129.

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The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.In the thesis, continuous-time models of systems controlled in a networked environment, errors-in-variables systems, stochastic closed-loop systems, and wireless channels are considered. The parameters of a transfer function based model for the process in a networked control system are estimated by a covariance function based approach relying upon the second order statistical properties of input and output signals. Some other approaches for estimating the parameters of continuous-time models for processes in networked environments are also considered. The multiple input multiple output errors-in-variables problem is solved by means of a covariance matching algorithm. An analysis of a covariance matching method for single input single output errors-in-variables system identification is also presented. The parameters of continuous-time autoregressive exogenous models are estimated from closed-loop filtered data, where the controllers in the closed-loop are of proportional and proportional integral type, and where the closed-loop also contains a time-delay. A stochastic differential equation is derived for Jakes's wireless channel model, describing the dynamics of a scattered electric field with the moving receiver incorporating a Doppler shift.

The thesis consists of five main parts, where the first part is an introduction- Parts II-IV are based on the following articles:

Part II - Networked Control Systems

1. Y. Irshad, M. Mossberg and T. Söderström. System identification in a networkedenvironment using second order statistical properties.

A versionwithout all appendices is published as Y. Irshad, M. Mossberg and T. Söderström. System identification in a networked environment using second order statistical properties. Automatica, 49(2), pages 652–659, 2013.

Some preliminary results are also published as M. Mossberg, Y. Irshad and T. Söderström. A covariance function based approachto networked system identification. In Proc. 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, pages 127–132, Annecy,France, September 13–14, 2010

2. Y. Irshad and M. Mossberg. Some parameters estimation methods applied tonetworked control systems.A journal submission is made. Some preliminary results are published as Y. Irshad and M. Mossberg. A comparison of estimation concepts applied to networked control systems. In Proc. 19th Int. Conf. on Systems, Signals andImage Processing, pages 120–123, Vienna, Austria, April 11–13, 2012.

Part III - Errors-in-variables Identification

3. Y. Irshad and M. Mossberg. Continuous-time covariance matching for MIMOEIV system identification. A journal submission is made.

4. T. Söderström, Y. Irshad, M. Mossberg and W. X. Zheng. On the accuracy of acovariance matching method for continuous-time EIV identification. Provisionally accepted for publication in Automatica.

Some preliminary results are published as T. Söderström, Y. Irshad, M. Mossberg, and W. X. Zheng. Accuracy analysis of a covariance matching method for continuous-time errors-in-variables system identification. In Proc. 16th IFAC Symp. System Identification, pages 1383–1388, Brussels, Belgium, July 11–13, 2012.

Part IV - Wireless Channel Modeling

5. Y. Irshad and M. Mossberg. Wireless channel modeling based on stochasticdifferential equations .Some results are published as M. Mossberg and Y. Irshad. A stochastic differential equation forwireless channelsbased on Jakes’s model with time-varying phases, In Proc. 13th IEEEDigitalSignal Processing Workshop, pages 602–605, Marco Island, FL, January4–7, 2009.

Part V - Closed-loop Identification

6. Y. Irshad and M. Mossberg. Closed-loop identification of P- and PI-controlledtime-delayed stochastic systems.Some results are published as M. Mossberg and Y. Irshad. Closed-loop identific ation of stochastic models from filtered data, In Proc. IEEE Multi-conference on Systems and Control,San Antonio, TX, September 3–5, 2008

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Karim, Md Anisul. "Weighted layered space-time code with iterative detection and decoding." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/1095.

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Multiple antenna systems are an appealing candidate for emerging fourth-generation wireless networks due to its potential to exploit space diversity for increasing conveyed throughput without wasting bandwidth and power resources. Particularly, layered space-time architecture (LST) proposed by Foschini, is a technique to achieve a significant fraction of the theoretical capacity with a reasonable implementation complexity. There has been a great deal of challenges in the detection of space-time signal; especially to design a low-complexity detector, which can efficiently remove multi-layer interference and approach the interference free bound. The application of iterative principle to joint detection and decoding has been a promising approach. It has been shown that, the iterative receiver with parallel interference canceller (PIC) has a low linear complexity and near interference free performance. Furthermore, it is widely accepted that the performance of digital communication systems can be considerably improved once the channel state information (CSI) is used to optimize the transmit signal. In this thesis, the problem of the design of a power allocation strategy in LST architecture to simultaneously optimize coding, diversity and weighting gains is addressed. A more practical scenario is also considered by assuming imperfect CSI at the receiver. The effect of channel estimation errors in LST architecture with an iterative PIC receiver is investigated. It is shown that imperfect channel estimation at an LST receiver results in erroneous decision statistics at the very first iteration and this error propagates to the subsequent iterations, which ultimately leads to severe degradation of the overall performance. We design a transmit power allocation policy to take into account the imperfection in the channel estimation process. The transmit power of various layers is optimized through minimization of the average bit error rate (BER) of the LST architecture with a low complexity iterative PIC detector. At the receiver, the PIC detector performs both interference regeneration and cancellation simultaneously for all layers. A convolutional code is used as the constituent code. The iterative decoding principle is applied to pass the a posteriori probability estimates between the detector and decoders. The decoder is based on the maximum a posteriori (MAP) algorithms. A closed-form optimal solution for power allocation in terms of the minimum BER is obtained. In order to validate the effectiveness of the proposed schemes, substantial simulation results are provided.
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Karim, Md Anisul. "Weighted layered space-time code with iterative detection and decoding." School of Electrical & Information Engineering, 2006. http://hdl.handle.net/2123/1095.

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Master of Engineering (Research)
Multiple antenna systems are an appealing candidate for emerging fourth-generation wireless networks due to its potential to exploit space diversity for increasing conveyed throughput without wasting bandwidth and power resources. Particularly, layered space-time architecture (LST) proposed by Foschini, is a technique to achieve a significant fraction of the theoretical capacity with a reasonable implementation complexity. There has been a great deal of challenges in the detection of space-time signal; especially to design a low-complexity detector, which can efficiently remove multi-layer interference and approach the interference free bound. The application of iterative principle to joint detection and decoding has been a promising approach. It has been shown that, the iterative receiver with parallel interference canceller (PIC) has a low linear complexity and near interference free performance. Furthermore, it is widely accepted that the performance of digital communication systems can be considerably improved once the channel state information (CSI) is used to optimize the transmit signal. In this thesis, the problem of the design of a power allocation strategy in LST architecture to simultaneously optimize coding, diversity and weighting gains is addressed. A more practical scenario is also considered by assuming imperfect CSI at the receiver. The effect of channel estimation errors in LST architecture with an iterative PIC receiver is investigated. It is shown that imperfect channel estimation at an LST receiver results in erroneous decision statistics at the very first iteration and this error propagates to the subsequent iterations, which ultimately leads to severe degradation of the overall performance. We design a transmit power allocation policy to take into account the imperfection in the channel estimation process. The transmit power of various layers is optimized through minimization of the average bit error rate (BER) of the LST architecture with a low complexity iterative PIC detector. At the receiver, the PIC detector performs both interference regeneration and cancellation simultaneously for all layers. A convolutional code is used as the constituent code. The iterative decoding principle is applied to pass the a posteriori probability estimates between the detector and decoders. The decoder is based on the maximum a posteriori (MAP) algorithms. A closed-form optimal solution for power allocation in terms of the minimum BER is obtained. In order to validate the effectiveness of the proposed schemes, substantial simulation results are provided.
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Potter, Chris. "Modeling Channel Estimation Error in Continuously Varying MIMO Channels." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604490.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada
The accuracy of channel estimation plays a crucial role in the demodulation of data symbols sent across an unknown wireless medium. In this work a new analytical expression for the channel estimation error of a multiple input multiple output (MIMO) system is obtained when the wireless medium is continuously changing in the temporal domain. Numerical examples are provided to illustrate our findings.
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Hunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.

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The statistics of the amplitude, time and angle of arrival of multipaths in an indoor environment are all necessary components of multipath models used to simulate the performance of spatial diversity in receive antenna configurations. The model presented by Saleh and Valenzuela, was added to by Spencer et. al., and included all three of these parameters for a 7 GHz channel. A system was built to measure these multipath parameters at 2.4 GHz for multiple locations in an indoor environment. Another system was built to measure the angle of transmission for a 6 GHz channel. The addition of this parameter allows spatial diversity at the transmitter along with the receiver to be simulated. The process of going from raw measurement data to discrete arrivals and then to clustered arrivals is analyzed. Many possible errors associated with discrete arrival processing are discussed along with possible solutions. Four clustering methods are compared and their relative strengths and weaknesses are pointed out. The effects that errors in the clustering process have on parameter estimation and model performance are also simulated.
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Books on the topic "Channel estimation errors"

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Ho, Lok Pan. MIMO multi-user precoding with and without channel estimation errors. 2007, 2007.

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Cernat, Alexandru, and Joseph W. Sakshaug, eds. Measurement Error in Longitudinal Data. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198859987.001.0001.

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Understanding change is essential in most scientific fields. This is highlighted by the importance of issues such as shifts in public health and changes in public opinion regarding politicians and policies. Nevertheless, our measurements of the world around us are often imperfect. For example, measurements of attitudes might be biased by social desirability, while estimates of health may be marred by low sensitivity and specificity. In this book we tackle the important issue of how to understand and estimate change in the context of data that are imperfect and exhibit measurement error. The book brings together the latest advances in the area of estimating change in the presence of measurement error from a number of different fields, such as survey methodology, sociology, psychology, statistics, and health. Furthermore, it covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. The book introduces the reader to essential issues of longitudinal data collection such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also introduces the reader to some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Further, it discusses the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error.
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Book chapters on the topic "Channel estimation errors"

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Mahamadu, Mahamuda Alhaji, and Zheng Ma. "Performance of Linearly Modulated SIMO High Mobility Systems with Channel Estimation Errors." In Communications and Networking, 92–103. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_9.

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Naqvi, Syed Affif Raza, Aamir Zeb Shaikh, Krishan Lal Khatri, Altaf Ahmed Mugheri, and Shabbir Ahmed. "Adaptive Threshold Technique for Spectrum Sensing Cognitive Radios Under Gaussian Channel Estimation Errors." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 183–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95450-9_15.

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Lopes, Waslon Terllizzie A., Marcelo S. Alencar, and Juraci F. Galdino. "Modulation Diversity for Wireless Communications: Impact of Channel Estimation Errors and Doppler Effects on System Performance." In Communications, Information and Network Security, 1–16. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3789-9_1.

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Sanguinetti, L., M. Morelli, and U. Mengali. "Space-Time Multi-User Detection for MC-CDMA Systems in the Presence of Channel Estimation Errors." In Multi-Carrier Spread-Spectrum, 269–78. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0502-8_31.

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Li, Qian, Hang Long, and Mingwei Tang. "Iterative Phase Error Compensation Joint Channel Estimation in OFDM Systems." In Communications and Networking, 62–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41117-6_6.

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Zhang, Tian, Shuxu Guo, and Haipeng Chen. "Enhancing the Bit Error Rate of Visible Light Communication Systems Using Channel Estimation and Channel Coding." In Wireless Communications, Networking and Applications, 51–58. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_6.

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García, Marta, Ramón Agüero, and Luis Muñoz. "On the Unsuitability of TCP RTO Estimation over Bursty Error Channels." In Personal Wireless Communications, 343–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30199-8_28.

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van Santen, Victor M., Hussam Amrouch, Thomas Wild, Jörg Henkel, and Andreas Herkersdorf. "Thermal Management and Communication Virtualization for Reliability Optimization in MPSoCs." In Dependable Embedded Systems, 181–205. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_8.

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AbstractThis chapter covers the interdependencies of temperature and the reliable operation of multiprocessor systems on chip (MPSoC). Starting with the assessment of temperature values for the different cores either through measurement or estimation, it is shown which methods on system level can be applied to balance the thermal stress in the system and thus to come to an evenly distributed probability of errors. Special focus is given to task migration as a system-level means, which is supported by an on-chip interconnect virtualization technique that eases fast and transparent switch-over of communication channels. Overall, it is shown how mechanisms on different levels of the system stack can be combined to cooperate across layers for improving system reliability.
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Sun, Jun, and Dong-Feng Yuan. "Neural Network Channel Estimation Based on Least Mean Error Algorithm in the OFDM Systems." In Advances in Neural Networks - ISNN 2006, 706–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760023_104.

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Nogami, Hiroshi, and Gordon L. Stüber. "New error probability upper bound on maximum likelihood sequence estimation for intersymbol interference channels." In Lecture Notes in Computer Science, 230–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57856-0_22.

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Conference papers on the topic "Channel estimation errors"

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Bennis, Mehdi, Ebrahim Karami, and Jorma Lilleberg. "Performance of MIMO Schemes with Channel Estimation Errors." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394746.

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Song, S. H., and Q. T. Zhang. "Capacity of Wireless Systems with Channel Estimation Errors." In 2008 IEEE International Conference on Communications. IEEE, 2008. http://dx.doi.org/10.1109/icc.2008.189.

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Chien-Chun Cheng, Serdar Sezginer, Hikmet Sari, and Yu T. Su. "Robust MIMO-OFDM detection with channel estimation errors." In 2013 20th International Conference on Telecommunications (ICT). IEEE, 2013. http://dx.doi.org/10.1109/ictel.2013.6632097.

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Seyfi, Mehdi, Sami Muhaidat, and Jie Liang. "Capacity of selection cooperation with channel estimation errors." In 2010 25th Biennial Symposium on Communications. IEEE, 2010. http://dx.doi.org/10.1109/bsc.2010.5472953.

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KARA, Ferdi, and Hakan KAYA. "Error Probability Analysis of Non-Orthogonal Multiple Access with Channel Estimation Errors." In 2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2020. http://dx.doi.org/10.1109/blackseacom48709.2020.9234956.

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Lv, Ding, Bin Jiang, and Xiqi Gao. "A Simple Codebook Design Algorithm for MISO Channels with Channel Estimation Errors." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5303302.

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Koca, Mutlu, and Hikmet Sari. "Performance of spatial modulation over correlated fading channels with channel estimation errors." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6555205.

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Mi, De, Lei Zhang, Mehrdad Dianati, Sami Muhaidat, Pei Xiao, and Rahim Tafazolli. "Self-Calibration for Massive MIMO with Channel Reciprocity and Channel Estimation Errors." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647759.

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Seyfi, Mehdi, Sami Muhaidat, and Jie Liang. "Outage Probability of Selection Cooperation with Channel Estimation Errors." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5494038.

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Peng, Wei, Fumiyuki Adachi, Shaodan Ma, Jiangzhou Wang, and Tung-Sang Ng. "Effects of Channel Estimation Errors on V-BLAST Detection." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.785.

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Reports on the topic "Channel estimation errors"

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Clark, Todd E., Gergely Ganics, and Elmar Mertens. Constructing fan charts from the ragged edge of SPF forecasts. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.26509/frbc-wp-202236.

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We develop a model that permits the estimation of a term structure of both expectations and forecast uncertainty for application to professional forecasts such as the Survey of Professional Forecasters (SPF). Our approach exactly replicates a given data set of predictions from the SPF (or a similar forecast source) without measurement error. Our model captures fixed horizon and fixed-event forecasts, and can accommodate changes in the maximal forecast horizon available from the SPF. The model casts a decomposition of multi-period forecast errors into a sequence of forecast updates that may be partially unobserved, resulting in a multivariate unobserved components model. In our empirical analysis, we provide quarterly term structures of expectations and uncertainty bands. Our preferred specification features stochastic volatility in forecast updates, which improves forecast performance and yields model estimates of forecast uncertainty that vary over time. We conclude by constructing SPF-based fan charts for calendar-year forecasts like those published by the Federal Reserve. Replication files are available at https://github.com/elmarmertens/ClarkGanicsMertensSPFfancharts.
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