文件名称:papr_windowing
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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.
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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.
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papr_windowing.m