Reducing Peak-to-average Power Ratio of Coherent Optical Orthogonal Frequency Division Multiplexing System by DCT Cascading ICF Algorithm

Nan ZHANG; Zhengrong TONG; Weihua ZHANG; Ye LIU

doi:10.3788/gzxb20225109.0906006

Journals >Acta Photonica Sinica >Volume 51 >Issue 9 >Page 0906006 > Article

Acta Photonica Sinica
Vol. 51, Issue 9, 0906006 (2022)

Reducing Peak-to-average Power Ratio of Coherent Optical Orthogonal Frequency Division Multiplexing System by DCT Cascading ICF Algorithm

Nan ZHANG^*, Zhengrong TONG, Weihua ZHANG, and Ye LIU

Author Affiliations

Engineering Research Center of Optoelectronic Devices and Communication Technology，Ministry of Education，Tianjin Key Laboratory of Film Electronic and Communication Devices，School of Integrated Circuit Science and Engineering，Tianjin University of Technology，Tianjin 300384，China

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DOI: 10.3788/gzxb20225109.0906006 Cite this Article

Nan ZHANG, Zhengrong TONG, Weihua ZHANG, Ye LIU. Reducing Peak-to-average Power Ratio of Coherent Optical Orthogonal Frequency Division Multiplexing System by DCT Cascading ICF Algorithm[J]. Acta Photonica Sinica, 2022, 51(9): 0906006 Copy Citation Text

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Fig. 1. PSD simulation curves

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Fig. 2. Principle schematic diagram of DCT-ICF algorithm

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Fig. 3. CO-OFDM system principle frame of proposed scheme

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Fig. 4. Time domain waveforms of OFDM signals

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Fig. 5. CCDF simulation curve of OFDM

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Fig. 6. BER performance analysis

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Algorithm

Addition calculation

amount

Multiplication calculation amount

Total computational cost

DCT

5 634

2 048

7 682

ICF

8 192

4 096

12 288

DCT-ICF

13 826

6 144

19 970

Table 0. Computational amount of different algorithms at N=256 and iter=4

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Algorithm	Addition calculation amount	Multiplication calculation amount
DCT	$3 N l o g_{2} N - 2 N + 2$	$N \cdot l o g_{2} N$
ICF	$N \cdot l o g_{2} N \cdot i t e r$	$(N / 2) \cdot l o g_{2} N \cdot i t e r$
DCT-ICF	$3 N l o g_{2} N - 2 N + 2 + N \cdot l o g_{2} N \cdot i t e r$	$N \cdot l o g_{2} N + (N / 2) \cdot l o g_{2} N \cdot i t e r$

Table 0. Computational complexity of different algorithms

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