A Study on PAPR Reduction in OFDM System using Hybrid Continuous Modulus Algorithm

ABSTRACT PAPR is a generic problem in OFDM system. Loss of data at transmitter and receiver end is an inherit part of communication system. Different techniques have been proposed to solve this PAPR problem based on artificial intelligence. A PAPR reduction way for OFDM system is proposed, inspired by constant modulus property known as weight pattern hybrid continuous modulus algorithm. This coupled with the idea of weight pattern to change the scale of convergence with alter step size for optimal solution. Proposed method is tested on OFDM system for PAPR value and comparison is made with different techniques in literature. Test results shows the efficacy of projected method

NOVEL OFDM SYSTEM BASED ON DUAL-TREE COMPLEX WAVELET TRANSFORM

The demand for higher and higher capacity in wireless networks, such as cellular, mobile and local area network etc, is driving the development of new signaling techniques with improved spectral and power efficiencies. At all stages of a transceiver, from the bandwidth efficiency of the modulation schemes through highly nonlinear power amplifier of the transmitters to the channel sharing between different users, the problems relating to power usage and spectrum are aplenty. In the coming future, orthogonal frequency division multiplexing (OFDM) technology promises to be a ready solution to achieving the high data capacity and better spectral efficiency in wireless communication systems by virtue of its well-known and desirable characteristics. Towards these ends, this dissertation investigates a novel OFDM system based on dual-tree complex wavelet transform (D