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Author: Kahsay Meresa
Publisher: Lulu.com
ISBN: 136558125X
Category : Technology & Engineering
Languages : en
Pages : 104
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Book Description
In this thesis channel estimation techniques for LTE downlink named Least Square, Minimum Mean Square error and Maximum Likelihood estimation techniques are studied for the pilot symbol based channel estimation. In addition to this the performances of these three channel estimation techniques were also studied by introducing averaging, interpolation and hybrid methods.This work also investigates the complexity of the channel estimation techniques in terms of the number of complex multiplications and by varying the FFT size and number of CP(cyclic prefix). furthermore, the effect of varying the number of antennas at the transmitter and receiver ends, where 2 x 2 and 4 x 4 antenna arrangements are considered as a case studies. The performance of these channel estimation techniques is also studied for EVA standard channel model in LTE. The considered channel model is EVA standard channel model with Doppler shift of 300HZ.
Author: Kahsay Meresa
Publisher: Lulu.com
ISBN: 136558125X
Category : Technology & Engineering
Languages : en
Pages : 104
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Book Description
In this thesis channel estimation techniques for LTE downlink named Least Square, Minimum Mean Square error and Maximum Likelihood estimation techniques are studied for the pilot symbol based channel estimation. In addition to this the performances of these three channel estimation techniques were also studied by introducing averaging, interpolation and hybrid methods.This work also investigates the complexity of the channel estimation techniques in terms of the number of complex multiplications and by varying the FFT size and number of CP(cyclic prefix). furthermore, the effect of varying the number of antennas at the transmitter and receiver ends, where 2 x 2 and 4 x 4 antenna arrangements are considered as a case studies. The performance of these channel estimation techniques is also studied for EVA standard channel model in LTE. The considered channel model is EVA standard channel model with Doppler shift of 300HZ.
Author: Kahsay Kiross
Publisher:
ISBN: 9783330085756
Category :
Languages : en
Pages : 104
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Book Description
Author: Kahsay Kiross
Publisher: GRIN Verlag
ISBN: 3668365709
Category : Technology & Engineering
Languages : en
Pages : 101
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Book Description
Thesis (M.A.) from the year 2016 in the subject Engineering - Communication Technology, grade: 75%, Mekelle University, course: Communication engineering, language: English, abstract: In this thesis channel estimation techniques for LTE downlink named Least Square, Minimum Mean Square error and Maximum Likelihood estimation techniques are studied for the pilot symbol based channel estimation. In addition to this the performances of these three channel estimation techniques were also studied by introducing averaging, interpolation and hybrid methods. This work also investigates the complexity of the channel estimation techniques in terms of the number of complex multiplications and by varying the FFT size and number of CP. furthermore, the effect of varying the number of antennas at the transmitter and receiver ends, where 2 x 2 and 4 x 4 antenna arrangements are considered as a case studies. The performance of these channel estimation techniques is also studied for EVA standard channel model in LTE. The considered channel model is EVA standard channel model with Doppler shift of 300HZ. Simulation results in this thesis show that the ML channel estimation technique has the best performance. In terms of number of complex multiplications it is proved the ML has lower complexity. From the interpolating techniques it is shown the performance of the algorithm integrated with hybrid technique has the best performance. In addition to this it is shown that as the number of transmit and receive antennas increase from 2 x 2 to 4 x 4 the performance of the estimator increases.
Author: Imtiyaz Ahmed Mohammed
Publisher:
ISBN: 9781321814545
Category : Electrical engineering
Languages : en
Pages : 64
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Book Description
Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO- OFDM) provides a significant performance gain compared to the single antenna systems by using diversity and multiplexing techniques. The availability of channel state information at the receiver determines the multiplexing and diversity gain of the MIMO OFDM systems. In this thesis work, analysis and comparison of different pilot aided channel estimation algorithms have been performed. The Alamouti Space Frequency Block coding (SFBC) is used to achieve diversity, whereas Maximum Likelihood (ML) detector is used to decode the spatially coded symbols.
Author: Young-Chai Ko
Publisher:
ISBN:
Category :
Languages : en
Pages : 284
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Book Description
Author: Md. Muktar Hossain
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659540608
Category :
Languages : en
Pages : 60
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Book Description
In this book the channel estimation techniques for OFDM systems based on Block Type Pilot arrangement are investigated. Finally, the DFT based channel estimation technique is performed which gives better performance over LS and MMSE based channel estimation.With same SNR, the BER of DFT based channel estimation is less than the BER of LS and MMSE based channel estimation. The MMSE estimator has good performance but high complexity. The LS estimator has low complexity, but its performance is not as good as that MMSE estimator basically at low SNR. Block Type Pilot arrangement is suitable for frequency-selective channels. For the fast-fading channels, however, it might incur too much overhead to track the channel variation by reducing the pilot symbol period.As the use of pilot symbols for channel estimation decrease the spectrum efficiency of the wireless communication systems, it will be beneficial if we can adaptively change the number of pilot tones depending on the channel condition through some feedback information.
Author: Fabien Delestre
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This thesis is concerned with channel estimation and data detection of MIMO-OFDM communication systems using Space-Time Block Coding (STBC) and Space-Frequency Block Coding (SFBC) under frequency selective channels. A new iterative joint channel estimation and signal detection technique for both STBC-OFDM and SFBC-OFDM systems is proposed. The proposed algorithm is based on a processive sequence of events for space time and space frequency coding schemes where pilot subcarriers are used for channel estimation in the first time instant, and then in the second time instant, the estimated channel is used to decode the data symbols in the adjacent data subcarriers. Once data symbols are recovered, the system recursively performs a new channel estimation using the decoded data symbols as pilots. The iterative process is repeated until all MIMO-OFDM symbols are recovered. In addition, the proposed channel estimation technique is based on the maximum likelihood (ML) approach which offers linearity and simplicity of implementation. Due to the orthogonality of STBC and SFBC, high computation efficiency is achieved since the method does not require any matrix inversion for estimation and detection at the receiver. Another major novel contribution of the thesis is the proposal of a new group decoding method that reduces the processing time significantly via the use of sub-carrier grouping for transmitted data recovery. The OFDM symbols are divided into groups to which a set of pilot subcarriers are assigned and used to initiate the channel estimation process. Designated data symbols contained within each group of the OFDM symbols are decoded simultaneously in order to improve the decoding duration. Finally, a new mixed STBC and SFBC channel estimation and data detection technique with a joint iterative scheme and a group decoding method is proposed. In this technique, STBC and SFBC are used for pilot and data subcarriers alternatively, forming the different combinations of STBC/SFBC and SFBC/STBC. All channel estimation and data detection methods for different MIMO-OFDM systems proposed in the thesis have been simulated extensively in many different scenarios and their performances have been verified fully.
Author: Mansour Tahernezhadi
Publisher:
ISBN: 9783838329000
Category :
Languages : en
Pages : 92
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Book Description
Author: Manoj S. Daniel
Publisher:
ISBN:
Category : Code division multiple access
Languages : en
Pages : 200
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Book Description
Author: Marco Krondorf
Publisher: Jörg Vogt Verlag
ISBN: 3938860227
Category :
Languages : en
Pages : 164
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Book Description
