Two Efficient Algorithms for Increasing OFDM Performance with Highly Complicated Fading Channel
محورهای موضوعی : Communication
Saeed Ghazi-Maghrebi
1
(Communications Department, Yadegar Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran)
Mohammad Hosein Tavassoli
2
(Communications Department, Yadegar Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran)
Mohammad Ghazi-Maghrebi
3
(Communications Department, Yadegar Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran)
Reza Nematollahi
4
(Communications Department, Yadegar Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran)
کلید واژه: Genetic Algorithm, OFDM, Adaptive equalizer, S-MMA,
چکیده مقاله :
Equalization is a kind of the preferred methods for increasing the efficiency of modern digital communication systems. The paper contribution lies in using a modified version of Sliced Mul-ti-Modulus Algorithm (S-MMA) and genetic algorithm (GA) for updating per-tone equaliza-tions taps in the OFDM modulation using too long complicated fading channel, present of dif-ferent noises and ISI impairment. For more efficiency, it is assumed that the channel impulse response is longer than the cyclic prefix length and as a result, the system will be more efficient but at the expense of the high ISI impairment. Both mathematical analysis and computer simu-lations demonstrate the better performance of the new proposed application of the S-MMA and GA are compared to commonly used equalizer methods such as the LMS, RLS and multi modu-lus algorithm (MMA) in the channels with AWGN, burst noises and ISI impairment simultane-ously. Therefore, the new modified S-MMA equalization and GA are good candidates for high speed and real-time applications such as DAB, WiFi, WiMAX, and DVB systems.
