A weighted OFDM scheme with Hadamard transform and windowing techniques for PAPR reduction

Binu, Nisila; C.D, Suriyakala

doi:10.1109/iccicct.2015.7475343

Cited by 3 publications

(1 citation statement)

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“…The main requirements for the window function in this case is narrow main lobe and finite length in time domain. Window function can be applied in transmitter before IFFT and then removed in the receiver before FFT [4], or it can be applied after IFFT in frequency domain [5].…”

Section: Weight Functions For Windowigmentioning

confidence: 99%

Window Processing of Wireless OFDM System in the Spectral Concentrated Interference Channel

Vanin

Ryu

2023

Preprint

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When there is any particular interference or jamming signal against the OFDM (orthogonal frequency division multiplexing) wireless communication system, it is badly serious problem for the communication performance even though the OFDM system is inherently robust to interference than the single carrier communication system. Therefore, it is very important to design the counter-measure to this kind of interference. So, in this paper, window processing using the weighting function is introduced to recover the information data in parallel with the spreading and error correcting method. This paper describes the wireless OFDM communication system in the strong SCI (spectral concentrated interference) channel. To make the windowing processing of OFDM Signal in the SCI channel, several weighting functions are used and analyzed in the time and frequency domain. So, window processing using the weight function in combination with nonlinear compensation method allows to increase robust against SCI and system improvement. Several window functions are proposed and compared to evaluated for the communication performances. Computer simulations show the differences in BER (bit error rate) performance in various conditions with various window functions. It can be concluded that the proposed method is pretty efficient in the SCI channel.

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Section: Weight Functions For Windowigmentioning

confidence: 99%