reduction to papr in ofdm with Peak Windowing:



The basic idea of peak windowing is to multiply the envelope of OFDM

signal with a weighting function . Therefore,

~xE (t)= xE (t) f (t)

where

XE(t) =[x(t)]

The weighting function given by:

f (t)= 1-Σ α .w(t- t )

t-t

w(t) : is the window function.

t : denotes the position of a local maximum of the envelop xE(t) .

α : attenuation constant .

When the amplitude of envelop amplitude of the OFDM signal exceeds a threshold, a window function is applied to the envelop of the OFDM signal to eliminate the peak amplitude. windowing results in a smooth signal.

Hanning window function will be used for w(t)

As a matter of fact , other windows such as cosine, hamming and Kaiser may be employed.

-

reduction to papr in ofdm with Peak Windowing:



The basic idea of peak windowing is to multiply the envelope of OFDM

signal with a weighting function . Therefore,

~xE (t)= xE (t) f (t)

where

XE(t) =[x(t)]

The weighting function given by:

f (t)= 1-Σ α .w(t- t　)

　　　　t-t　

w(t) : is the window function.

t　: denotes the position of a local maximum of the envelop xE(t) .

α : attenuation constant .

When the amplitude of envelop amplitude of the OFDM signal exceeds a threshold, a window function is applied to the envelop of the OFDM signal to eliminate the peak amplitude. windowing results in a smooth signal.

Hanning window function will be used for w(t)

As a matter of fact , other windows such as cosine, hamming and Kaiser may be employed.