| Summary: | 碩士 === 國立中央大學 === 通訊工程學系 === 103 === Due to the fast-growing wireless network system in recent years, the number of mobile users has increased significantly and the demand for spectrum resources is also urgent. Because of the lack of a wide range of continuous bandwidth, the Third Generation Partnership Project (3GPP) proposed carrier aggregation (CA) technology in LTE-Advanced system. CA can aggregate many contiguous or non-contiguous fragment spectrums for supporting widely bandwidth and higher peak data rate. However, aggregate a lot of subcarriers will generate high peak-to-average power ratio (PAPR) which makes the overall system performance degradation.
Among the existing PAPR reduction methods, Iterative Clipping and Filtering (ICF) is the easiest to implement, but ICF may cause signal distortion so that the system can not completely recover the processed signal to original signal. In this thesis, we proposed a new method based on ICF which can reduce the distortion caused by clipping, and using public convex software (CVX) to compute the optimized filter to achieve the minimum error vector magnitude and efficiently reduce PAPR for CA.
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