Yazar "Kaya, Ismail" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • [ X ]
    Öğe
    A novel PSO based blind channel estimation and equalization
    (2012) Tu?cu, Emin; Kaya, Ismail; Özen, Ali
    As an alternative technique to well-known constant modulus algorithm (CMA), a Decision Feedback Equalizer via Channel Matched Filter (CMF-DFE) based blind channel estimation and equalization algorithm is proposed in this paper. The proposed technique employs Particle Swarm Optimization (PSO) in training, where the conventional CMA and least mean squares (LMS) based training algorithms are found slow and their convergence strictly depend on the step size parameter. On the other hand, if the PSO training algorithm is employed, it provides a faster convergence and less sensitivity to training parameters. Thus, a rapid converging high performance blind channel estimation and equalization method is obtained, as it is compared to CMF-DFE based blind LMS and CMA algorithm. Here, the price is paid for more complexity, however the obtained performance promises to compete with reference training sequence based parameter estimation techniques. © 2012 IEEE.
  • [ X ]
    Öğe
    Fast Convergence Algorithm for Blind Channel Estimation and Equalization using CMF-DFE
    (Ieee, 2015) Kaya, Ismail; Tugcu, Emin; Özen, Ali; Nix, Andrew Robert
    A novel fast blind equalizer is obtained by using the direct calculations from a channel matched filter decision feedback equalizer (CMF-DFE). The proposed technique converts the inverse convolution operations of an equalizer into a linear finite impulse response estimation filter, which is more suitable for blind training. A novel error function is introduced for blind training which enables the use of fast algorithms such as LMS or RLS. The required auto-regression values for the CMF-DFE equalizer are calculated from the incoming data. The resulting performance with LMS training is close to that of non-blind techniques.
  • [ X ]
    Öğe
    Novel cascaded Turbo-Permutation coding for frequency selective Rayleigh fading channels
    (2012) Çakir, Fatih; Tu?cu, Emin; Özen, Ali; Kaya, Ismail
    Novel cascaded coding method is proposed to overcome inter symbol interference (ISI), composed of frequency selective Rayleigh fading channels in this paper. The proposed method consists of combined Turbo Coding (TC), Permutation Coding (PC) and M-FSK modulation. Computer simulations are performed to verify the efficiency of the proposed method (TPC) and compare with Reed-Solomon and Convolutional Coding (RS-CC) and Turbo coding (TC) in frequency selective Rayleigh fading channels. In fact, PC helps to remove the error floor of an equalizer and M-FSK helps to recover data in highly noisy environment, and finally TC is successful reducing error rate. Therefore, the proposed technique provides high SNR improvement of approximately 6 dB in AWGN and 5 dB in frequency selective channels. © 2012 IEEE.