PROJECT TITLE :

Phase-Noise Mitigation in OFDM by Best Match Trajectories

ABSTRACT:

This paper proposes a unique approach to phase-noise compensation. The basic idea is to approximate the phase-noise statistics by a finite variety of realizations, i.e., a part-noise codebook. The receiver then uses an augmented received signal model, where the codebook index is estimated along with alternative parameters. The realization of the essential plan depends on the small print of the air interface, the part-noise statistics, the propagation situation and therefore the computational constraints. During this paper, we have a tendency to can specialize in a MQAM-OFDM system with pilot sub-carriers inside every OFDM symbol. The channel is frequency selective, fading and unknown. A call-feedback methodology is employed to any enhance performance of the system. Simulation results are shown for uncoded and coded systems to illustrate the performance of the algorithm, that is also compared with previously utilized ways. Our simulations show that for a 16-QAM coded OFDM system over a frequency selective Rayleigh fading channel littered with section noise with root-mean-sq. (RMS) of 14.4 degrees per OFDM image, the proposed algorithm is 1.5 dB from the best section-noise free case at a BER of $ten^-4 $. The performance of the best reference theme is two.five dB from the ideal case at BER of $10^-4 $. The proposed scheme is additionally computationally engaging.


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