Author(s): Neetu Sood | Ajay K Sharma | Moin Uddin
Journal: Signal Processing : An International Journal
ISSN 1985-2339
Volume: 4;
Issue: 4;
Start page: 239;
Date: 2010;
Original page
Keywords: OFDM | Fading distribution | Nakagami-m channel | Rayleigh fading | Channel estimation | Trained Symbol
ABSTRACT
This paper evaluates the performance of OFDM - BPSK & -QPSK based system with and without channel estimation over Nakagami-m fading channels. Nakagami-m variants are generated by decomposition of Nakagami random variable into orthogonal random variables with Gaussian distribution envelopes. Performance of OFDM system in Nakagami channel has been reported here. The results yield the optimum value of m based on BER and SNR. Using this optimum value of m, Channel estimation over flat fading has been reported here. It has been depicted clearly from simulated graphs that channel estimation has further reduced the BER. However, threshold value of m has played a vital role during channel estimation.
Journal: Signal Processing : An International Journal
ISSN 1985-2339
Volume: 4;
Issue: 4;
Start page: 239;
Date: 2010;
Original page
Keywords: OFDM | Fading distribution | Nakagami-m channel | Rayleigh fading | Channel estimation | Trained Symbol
ABSTRACT
This paper evaluates the performance of OFDM - BPSK & -QPSK based system with and without channel estimation over Nakagami-m fading channels. Nakagami-m variants are generated by decomposition of Nakagami random variable into orthogonal random variables with Gaussian distribution envelopes. Performance of OFDM system in Nakagami channel has been reported here. The results yield the optimum value of m based on BER and SNR. Using this optimum value of m, Channel estimation over flat fading has been reported here. It has been depicted clearly from simulated graphs that channel estimation has further reduced the BER. However, threshold value of m has played a vital role during channel estimation.
