Peak-To-Average Power Ratio Reduction by CB-ACE and Adaptive Ace Algorithms
نویسنده
چکیده
Orthogonal Frequency Division Multiplexing (OFDM) is a method of Digital Modulation in which a signal is split into several narrowband channels at different frequencies. The OFDM technology was first conceived in the 1960s and 1970s during the research into minimizing interference among the channels near each other in the frequency [5]. The main idea behind OFDM is that since lowrate modulations are less sensitive to multipath, the better way is to send a number of low rate streams in parallel than sending one high rate waveform [8].The OFDM signal has a noise like amplitude with a very large dynamic range; therefore it requires RF power amplifiers with a high Peak-toAverage Power Ratio (PAPR) or Peak-to-Average Ratio (PAR) [1]. The high PAPR increases the complexity of Analog-toDigital (A/D) and Digital-to-Analog (D/A) converters and also lowers the efficiency of power amplifiers [1]. The ClippingBased Active Constellation Extension (CB-ACE) Algorithm and Adaptive Active Constellation Extension (Adaptive ACE) Algorithm can be efficiently used to reduce the high PAPR in OFDM systems.
منابع مشابه
Comparison of Exponential Companding Transform and Adaptive-ACE Algorithm for PAPR Reduction in OFDM Signal
One of the main disadvantages of Orthogonal Frequency Division Multiplexing (OFDM) is its high peak-toaverage power ratio (PAPR). As the simplest approach to reducing the PAPR, Clipping based Active Contellation Extension (CB-ACE) exhibits good practicability, and the repeated clipping-and-filtering (RCF) algorithm proposed by Jean Armstrong provides a good performance in PAPR reduction and out...
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