Orthogonal frequency-division multiplexing (OFDM) systems provide efficient spectral usage by allowing overlapping in the frequency domain. Additionally, they are highly immune to multipath delay spread. In these systems, modulation and demodulation can be done using Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) operations, which are computationally efficient. OFDM allows suppression of inter-symbol interference (ISI), provides flexible bandwidth allocation and may increase the capacity in terms of number of users. In this work, we have investigated the performance of different error correcting techniques for OFDM systems. These techniques are based on Convolutional codes, Linear Block codes and Reed-Solomon codes. Simulations are performed to evaluate the considered techniques for different channel conditions. By comparing the three techniques, the results show that Reed-Solomon codes performs the best for all error rates due to its consistency in performance at both low and high code rates which we verified by results.
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Jawad Ahmed Malik born in Rawalpindi, Pakistan, in 1986. He did his Masters in Electrical Engineering with emphasis on Radio Communication from Blekinge Institute of Technology, Sweden. His areas of interests are Digital Signal Processing, cooperative communication systems, Wireless networks and radio communication.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Orthogonal frequency-division multiplexing (OFDM) systems provide efficient spectral usage by allowing overlapping in the frequency domain. Additionally, they are highly immune to multipath delay spread. In these systems, modulation and demodulation can be done using Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) operations, which are computationally efficient. OFDM allows suppression of inter-symbol interference (ISI), provides flexible bandwidth allocation and may increase the capacity in terms of number of users. In this work, we have investigated the performance of different error correcting techniques for OFDM systems. These techniques are based on Convolutional codes, Linear Block codes and Reed-Solomon codes. Simulations are performed to evaluate the considered techniques for different channel conditions. By comparing the three techniques, the results show that Reed-Solomon codes performs the best for all error rates due to its consistency in performance at both low and high code rates which we verified by results. 80 pp. Englisch. Seller Inventory # 9783659546990
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Orthogonal frequency-division multiplexing (OFDM) systems provide efficient spectral usage by allowing overlapping in the frequency domain. Additionally, they are highly immune to multipath delay spread. In these systems, modulation and demodulation can be done using Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) operations, which are computationally efficient. OFDM allows suppression of inter-symbol interference (ISI), provides flexible bandwidth allocation and may increase the capacity in terms of number of users. In this work, we have investigated the performance of different error correcting techniques for OFDM systems. These techniques are based on Convolutional codes, Linear Block codes and Reed-Solomon codes. Simulations are performed to evaluate the considered techniques for different channel conditions. By comparing the three techniques, the results show that Reed-Solomon codes performs the best for all error rates due to its consistency in performance at both low and high code rates which we verified by results. Seller Inventory # 9783659546990
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Malik Jawad AhmedJawad Ahmed Malik born in Rawalpindi, Pakistan, in 1986. He did his Masters in Electrical Engineering with emphasis on Radio Communication from Blekinge Institute of Technology, Sweden. His areas of interests are Dig. Seller Inventory # 5163917
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