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@article{160315,
        author = {Sumathi and PadmaPriya},
        title = {A New Approach to Mitigating the Effect of Constant Electromagnetic Wave Disturbances in OFDM Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {163-169},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160315},
        abstract = {Electromagnetic waves are used to transport voice and data over open space. Data exchange between two parties who are not connected by an electrical link is referred to as remote correspondence. The phrase is typically used in the delivered trades industry to refer to media correspondence systems that use some form of energy, such as radio waves and acoustic power, to carry data without the use of wires, such as radio transmitters and receivers and remote controls. Orthogonal frequency division multiple access is a multicarrier modulation method used to transmit the frequencies very quickly. This project proposes a new approach to mitigating the effect of constant electromagnetic wave disturbances in OFDM systems. The Inverse Discrete Fourier Transform (IDFT) technique is used to demodulate the modulated signals. Additive white Gaussian noise (AWGN) is often used as a channel model. An Additive white Gaussian noise channel is the most basic model of a communication system. Some examples of systems operating largely in Additive white Gaussian noise (AWGN) conditions are space communications with highly directional antennas and some point-to-point microwave links. A continuous wave electromagnetic disturbance (CW EMD) represents a signal with constant amplitude, phase and frequency. This project proved its efficiency, so the concept is being used for further improvements. This project is implemented by MATLAB software},
        keywords = {Inverse Discrete Fourier Transform, AWGN- Additive white Gaussian noise, CW EMD- continuous wave electromagnetic disturbance},
        month = {},
        }