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Wyszukujesz frazę "channel estimation" wg kryterium: Temat


Tytuł:
Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern
Autorzy:
Youssefi, M. A.
Abbadi, J. E.
Tematy:
channel estimation
LTE
MIMO
OFDM
pilot pattern
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/307570.pdf  Link otwiera się w nowym oknie
Opis:
This paper proposes an adaptive pilot pattern to improve channel estimation performance for LTE downlink system with high mobility. The downlink pilot positions are predefined in the time and frequency domain with fixed pilot pattern in LTE standard. However, that pilot structure is not efficient in a fast time varying channel, and leads to a decrease of channel estimation performance. The authors propose and evaluate the performance of LTE downlink channel estimation using an adaptive pilot scheme to optimally use pilot tones over time varying channels. It is shown that only seven bits of additional wide-band feedback per frame and per user are required to optimally support adaptive pilot pattern. Simulation results show that the proposed method allows high performance in terms of throughput and channel estimation error. This analysis shows that LTE downlink throughput could be increased over 4%.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems
Autorzy:
Patra, Jyoti P.
Pradhan, Bibhuti Bhusan
Singh, Poonam
Tematy:
channel estimation
LMMSE
mean square error
OFDM
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/2058504.pdf  Link otwiera się w nowym oknie
Opis:
The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance. However, the LMMSE method requires cubic complexity of order O(N 3 p ), where Np is the number of pilot subcarriers. To reduce the computational complexity, a discrete Fourier transform (DFT) based LMMSE method is proposed in this paper for OFDM systems in the frequency selective channel. To validate the proposed method, the closed form mean square error (MSE) expression is also derived. Finally, a computer simulation is carried out to compare the performance of the proposed LMMSE method with the classical LS and LMMSE methods in terms of bit error rate (BER) and computational complexity. Results of the simulation show that the proposed LMMSE method achieves exactly the same performance as the conventional LMMSE method, with much lower computational complexity.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exact Analysis of MIMO Channel Estimation Based on Superimposed Training
Autorzy:
Addad, Mouad
Toaba, Hanane Meriem
Djebbari, Ali
Tematy:
channel estimation
DC offset
MIMO channel
superimposed training
ZCZ sequences
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/58906715.pdf  Link otwiera się w nowym oknie
Opis:
In this paper, channel estimation capabilities of a multiple-input multiple-output (MIMO) system using superimposed training sequences are investigated. A new expression for estimation-error variance is derived. It is shown that the training sequences must be balanced and must have specific correlation properties. The latter are required only in a specific zone. Sequences that satisfy these criteria exist and are referred to as zero-correlation zone (ZCZ) solutions. Consequently, by using balanced ZCZ sequences, harmful direct current (DC) offset can be removed. Owing to their zero-cross correlation, interference from other transmitting antennas may be eliminated. Furthermore, a closed-form expression of the estimation-error variance can be obtained due to their impulse-like autocorrelation. To increase the number of antennas in the MIMO system, a new construction of ZCZ sequence set is proposed, in which all sequences are balanced.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of a real radio channel parameters on the quality of the OFDM signal in mobile applications. Estimation of parameters of the channel as an element of improvement of the transmission quality
Autorzy:
Bożek, K.
Tematy:
OFDM
radio transmission
multi-path
radio channel estimation
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Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:
https://bibliotekanauki.pl/articles/385028.pdf  Link otwiera się w nowym oknie
Opis:
The article deals with issues related to transmission of a signal with the OFDM multitude modulation in a real radio channel. Following short characteristics of the OFDM modulation, the article includes an analysis of typical radio channels from the angle of amplitude and phase on the basis of delay profiles referred to in the literature. The study contains results of simulated receipt of the OFDM signal in the multi-path conditions. On the basis of diagrams of constellation of the modulation symbols, the author presented differences in the quality of the signal before and after the phase correction and improvement in the quality due to application of cyclic prefix. Influence of noise as well as the fact that the terminals are non-stationary on operation of the frequency characteristics estimation algorithm was analyzed. At the end, an example was presented of application of a linear model of estimation of phase characteristics of a channel with the shift in frequency occurring in mobile systems as a consequence of the Doppler effect being compensated.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems
Autorzy:
Tami, Abdelkader
Keche, Mokhtar
Bouazza, Boubaker S.
Tematy:
MIMO
OFDM
blind channel estimation
OSTBC
SS-KCE
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/958059.pdf  Link otwiera się w nowym oknie
Opis:
Applying orthogonal space time block coding (OSTBC) to multiple-input multiple-output (MIMO) systems helps reduce receiver complexity. However, this approach has been applied only to flat fading channels, as when the channel is a frequency selective fading MIMO channel, OSTBC cannot be used directly since its orthogonal propriety may be lost. Furthermore, the MIMO channel is not always known. To deal with this problem, many techniques were proposed to estimate the channel using a training sequence. Unfortunately, these techniques reduce the useful spectral bandwidth. This paper proposes OSTBC for blind channel estimation and data detection in the case of a MIMO frequency selective channel. The aim of this new OSTBC is twofold: to solve the ambiguity of channel estimation and to reduce the complexity of the detector. By exploiting the well-known technique of orthogonal frequency division multiplexing (OFDM), the frequency selective fading MIMO channel is split into a set of flat fading subchannels. Moreover, to accommodate the fact that a MIMO channel can be time varying, the steady state Kalman channel estimator (SS-KCE) is extended to track the channel’s fast variations. The performance of the proposed blind algorithm is related by the adequate choice of the number of subcarriers and it is compared with other existing approaches by means of Monte Carlo simulations.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pilot Based MMSE Channel Estimation for Spatial Modulated OFDM Systems
Autorzy:
Soman, Anetha Mary
Nakkeeran, R.
Shinu, Mathew John
Tematy:
MIMO
multicarrier modulation
spatial modulation
channel estimation
channel model
interpolation
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/2055222.pdf  Link otwiera się w nowym oknie
Opis:
Due to the multifold growth in demands of multimedia services and mobile data, the request for increased channel capacity in mobile and wireless communication has been quickly increasing. Developing a wireless system with more spectral efficiency under varying channel condition is a key challenge to provide more bit rates with limited spectrum. Multiple Input Multiple Output(MIMO) system with Orthogonal Frequency Division Multiplexing (OFDM) gives higher gain by using the direct and the reflected signals, thus facilitating the transmission at high data rate. An integration of Spatial Modulation (SM) with OFDM (SM OFDM) is a newly evolved transmission technique and has been suggested as a replacement for MIMO -OFDM transmission. In practical scenarios, channel estimation is significant for detecting transmitted data coherently. This paper proposes pilot based, Minimum Mean Square Error (MMSE) channel estimation for the SM OFDM communication system. We have focused on analyzing Symbol Error Rate (SER) and Mean Square error (MSE) under Rayleigh channel employing International Telecommunication Union (ITU) specified Vehicular model of Pilot based MMSE channel estimator using windowed Discrete Fourier Transform (DFT) and MMSE weighting function. Simulation output shows that proposed estimator’s SER performance lies close to that of the MMSE optimal estimator in minimizing aliasing error and suppressing channel noise by using frequency domain data windowing and time domain weighting function. Usage of the Hanning window eliminates error floor and has a compact side lobe level compared to Hamming window and Rectangular window. Hanning window has a larger MSE at low Signal to Noise Ratio (SNR) values and decreases with high SNR values. It is concluded that data windowing technique can minimize the side lobe level and accordingly minimize channel estimation error when interpolation is done. MMSE weighting suppresses channel noise and improves estimation performance. Since Inverse Discrete Fourier Transform(IDFT)/DFT transforms can be implemented with fast algorithms Inverse Fast Fourier Transform( IFFT)/Fast Fourier Transform(FFT) computational complexity can be remarkably reduced.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Joint Timing Synchronization and Channel Estimation Using Perfect Sequence in Uplink Time Domain Synchronous OFDMA
Autorzy:
Lakshmanan, M.
Mallick, P.S.
Nithyanandan, L.
Tematy:
timing synchronization
channel estimation
TDS-OFDMA
perfect sequence
guard interval
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/226994.pdf  Link otwiera się w nowym oknie
Opis:
Time Domain Synchronous Orthogonal Frequency Division Multiple Access (TDS-OFDMA) is used in mobile broadband wireless access scheme in uplink transmission. This leads to multiple user interference due to timing offset and frequency offset. In this paper, the effect of timing offset and channel estimation in mobile broadband system is analysed. Time-space two dimensional structure is used in TDS-OFDMA and perfect sequence is used for guard interval to achieve perfect timing synchronization and channel estimation for each user. Simulations are performed for timing synchronization and channel estimation using perfect sequence under Urban channel, Indoor Office B channel and HIPER LAN-A channel. Simulation results show that the timing synchronization is achieved and channel estimation performance using perfect sequence is better than CAZAC and PN Sequences.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Deep Learning-based Approach for Channel Estimation in Multi-access Multi-antenna Systems
Autorzy:
Qasaymeh, Mahmoud M.
Alqatawneh, Ali
Khodeir, Mahmoud A.
Aljaafreh, Ahmad F.
Tematy:
channel estimation
CNN
CSI
CSIR
least square
MU-MIMO
OSTBC
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/58906703.pdf  Link otwiera się w nowym oknie
Opis:
This paper studies estimating the channel state information at the end of receiver (CSIR) for multiple transmitters communicating with only one receiver so that the latter can decode the incoming signal more efficiently. The transmitters and the receiver are all equipped with multi-antennas and using orthogonal space-time block codes (OSTBC). An algorithm is developed based on deep learning for estimating multi-user multiple-input multiple-output (MU-MIMO) channels. The algorithm could estimate the CSIR using a single pilot block. The proposed convolutional neural network (CNN) architecture designed for this task begins with an input layer that accepts grayscale images, followed by six convolutional blocks for feature extraction and processing. The network concludes with a fully connected layer to output the estimated channel information. It is trained using a regression loss function to map input images to accurate channel information accurately. The performance of the proposed method is compared with classical methods like least square and subspace-based methods, including Capon and rank revealing QR (RRQR) methods. CNN achieved better performance in comparison with the reference. Computer simulations are included to validate the proposed method.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of Climatic Conditions to Capacity of Airborne Ultrasonic Channel
Autorzy:
Mazurek, Gustaw
Tematy:
air-coupled ultrasound
digital communication
channel estimation
channel capacity
acoustic data transmission
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/226024.pdf  Link otwiera się w nowym oknie
Opis:
In this paper, we estimate the upper limit of the transmission data rate in airborne ultrasonic communications, under condition of the optimal power allocation. The presented method is based on frequency response of a channel in case of single-path LOS propagation under different climatic conditions and AWGN background noise model, and it can be easily extended to the case of frequency-dependent noise. The obtained results go beyond the discrete distances for which experimental SNR values were available, and are more accurate than the previous calculations in the literature, due to the inclusion of the channel frequency response and its changes over the distance. The impact of air temperature, relative humidity and the atmospheric pressure on the channel capacity is also investigated. The presented results can serve as a reference during the design of airborne ultrasonic communication systems operating in the far-field region.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pilot Design for Sparse Channel Estimation in Orthogonal Frequency Division Multiplexing Systems
Autorzy:
Vimala, P.
Yamuna, G.
Tematy:
channel estimation
compressive sensing
minimum coherence
minimum variance
pilot pattern
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/309257.pdf  Link otwiera się w nowym oknie
Opis:
Orthogonal Frequency Division Multiplexing (OFDM) is a well-known technique used in modern wide band wireless communication systems. Coherent OFDM systems achieve its advantages over a multipath fading channel, if channel impulse response is estimated precisely at the receiver. Pilot-aided channel estimation in wide band OFDM systems adopts the recently explored compressive sensing technique to decrease the transmission overhead of pilot subcarriers, since it exploits the inherent sparsity of the wireless fading channel. The accuracy of compressive sensing techniques in sparse channel estimation is based on the location of pilots among OFDM subcarriers. A sufficient condition for the optimal pilot selection from Sylow subgroups is derived. A Sylow subgroup does not exist for most practical OFDM systems. Therefore, a deterministic pilot search algorithm is described to select pilot locations based on minimizing coherence, along with minimum variance. Simulation results reveal the effectiveness of the proposed algorithm in terms of bit error rate, compared to the existing solutions.
Dostawca treści:
Biblioteka Nauki
Artykuł

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