Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is chosen as multiplexing techniques and broadly used in today’s radiocommunication environments to overcome spectrum insufficiency. With several superior advantages, however, OFDM is terribly affected by high peak to average power ratio (PAPR) due to offset frequency errors and local oscillator (LO) frequency synchronization errors. The high PAPR can cause nonlinear distortion, which outcomes in intermodulation and spectral leakage. This study aims to model the use of wavelet transform (discrete wavelet transform (DWT)) to replace Fourier transform (discrete Fourier transform (DFT)) that used in conventional OFDM, later in this paper is termed as DFT-OFDM. Clipping filtering techniques then applied to DWT-OFDM. The model was proposed to reduce PAPR in DFT-OFDM. The model was compared to DFT-OFDM using Matlab simulation method. The performance was evaluated using the Complementary Cumulative Distributive Function (CCDF) vs. PAPR. The results show that at PAPR 10-3for DFT-OFDM, it was produced PAPR of 10.6 dB whereas in DWT-OFDM, using Daubechies orde 7 (Daubechies7), Symlet orde 7 (Symlet7), Coiflet orde 2 (Coiflet2), were reached PAPR 4.8 dB, PAPR 3.3 dB, PAPR 3 dB, respectively. It means Coiflet2 providing the best PAPR reduction among other orthogonal wavelets. By applied clipping filtering to wavelet Coiflet2, it was produced PAPR of 2.9 dB for classical clipping and 2.8 dB for deep clipping. It show that wavelet Coiflet2 with deep clipping provided the best PAPR.

Highlights

  • Abstrak— Orthogonal Frequenc y Division Mul tipl exing (OFDM) merupakan salah satu teknik mul tiplexing yang paling diunggulkan dan banyak digunakan dalam lingkungan sistem nirkabel untuk mengatasi kelangkaan spektrum

  • Dengan filtering dapat mengurangi out band radiation setelah clipping

  • [32] Brahim Bakkas, Reda Benkhouya, Idriss Chana and Hussain Ben-Azza, “Palm Date Leaf Clipping: A New Method to Reduce Peak Average Power Ratio (PAPR) in Orthogonal Frequenc y Division Mul tipl exing (OFDM) Systems”, Information 2020, 11, 190; doi:10.3390/info11040190

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Summary

Filtering untuk Mereduksi PAPR pada OFDM

Abstrac t— Orthogonal Frequenc y Division Mul tiplexing (OFDM) is c hosen as mul tiplexing tec hniques and broadl y used in today’s radioc ommunic ation environments to overc ome spec trum insufficienc y. Sistem model yang diperkenalkan ini bertujuan untuk mereduksi PAPR pada DFT-OFDM. Tiga jenis orthogonal wavelet digunakan dalam penelitian ini, yaitu: Daubechies, Symlet, dan Coiflet, dengan pemilihan orde acak untuk masing-masing wavel et. Unjuk kerja sistem DWT-OFDM dan DFT-OFDM dibandingkan menggunakan metode simulasi dengan Matlab berdasarkan parameter Complementary Cumul ative Distributive Func tion (CCDF) terhadap PAPR. Hasil penelitian menunjukkan bahwa pada saat CCDF 10-3, untuk DFT-OFDM menghasilkan PAPR 10,6 dB, sedangkan DW T-OFDM dengan wavel et Daubechies orde 7 (Daubechies7), Symlet orde 7 (Symlet7), Coiflet orde 2 (Coiflet2), menghasilkan PAPR 4,8 dB, 3,3 dB, dan 3 dB, secara berurutan. Penurunan PAPR pada konvensional OFDM ditunjukkan pada hasil penelit ian [27] dimana dengan memperkenalkan sistem OFDM menggunakan transformasi wavelet sebagai filter sinyal dan fungsi basis skala (scaling basis function). Kontribusi pada penelitian in i adalah pemodelan DWT yang menggantikan DFT pada konvensional OFDM dan menambahkan metode clipping filtering.

Cyclic untuk mengurangi efek PAPR terhadap unjuk kerja sistem filtering prefix
OFDM dan kemudian awalan cyclic prefix dimasukkan untuk
Nilai PAPR
Frequency Offset Estimation Architecture for Enhanced OFDM
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