DocumentCode :
2327031
Title :
Addition of Gaussian random signals for peak to average power ratio reduction in OFDM systems
Author :
Al-Azzo, Wisam F. ; Ali, Borhanuddin M. ; Khatun, Sabira ; Bilfagih, Syed M. ; Noordin, Nor K.
Author_Institution :
Dept. of Comput. & Commun. Syst. Eng., Univ. Putra Malaysia, Serdang
fYear :
2008
fDate :
13-15 May 2008
Firstpage :
1344
Lastpage :
1347
Abstract :
This paper investigates the problem of peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) system. It presents a new PAPR reduction method based on addition of power of random signals in a complex Gaussian distribution form to the data constellation points in frequency domain. The added signals alter the constellation shape by shifting the constellation points from their original positions into new positions. This change in shape is accompanied by changes in the statistical properties and reduction in the PAPR value. There is no need to send side information to the receiver for signal recovery. This scheme significantly reduces the PAPR value without decrease in the bit rate or BER performance. Moreover, there is no out-of-band distortion resulted. For 64-PSK OFDM system using 128 data sub-carriers, >4 dB reduction in the PAPR value is achieved by using the proposed PAPR reduction method.
Keywords :
Gaussian distribution; OFDM modulation; error statistics; frequency-domain analysis; random processes; BER; Gaussian distribution; Gaussian random signal; OFDM system; data constellation point; frequency domain; orthogonal frequency division multiplexing; peak-to-average power ratio reduction; signal recovery; statistical property; Bit error rate; Bit rate; Constellation diagram; Degradation; Frequency domain analysis; OFDM; Peak to average power ratio; Shape; Signal processing; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1691-2
Electronic_ISBN :
978-1-4244-1692-9
Type :
conf
DOI :
10.1109/ICCCE.2008.4580824
Filename :
4580824
Link To Document :
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