SCIENCE CHINA Information Sciences, Volume 62 , Issue 2 : 022304(2019) https://doi.org/10.1007/s11432-017-9420-y

An enhanced digital predistortion algorithm based on polynomial model identification

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  • ReceivedNov 24, 2017
  • AcceptedMar 29, 2018
  • PublishedDec 26, 2018



This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61771107, 61701075, 61771115, 61531009, 61471108), National Major Projects (Grant No. 2016ZX03001009), the Project Funded by China Postdoctoral Science Foundation, and the Fundamental Research Funds for the Central Universities.


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  • Figure 1

    The DPD structure based on polynomial model identification.

  • Figure 2

    Estimation errors of the two methods.

  • Figure 3

    Performance comparison of the DPD algorithms on inhibition of spectral regeneration in LTE-A system.

  • Table 1   Complexity analysis of QR decomposition algorithm
    Number of multiplications Number of divisions CORDIC iteration times
    $\frac{1}{2}P^{3}+6P^{2}-\frac{1}{2}P$ $P$ $\frac{5}{2}P^{3}+\frac{3}{2}P^{2}-2P$
  • Table 2   Simulation parameters of the signal source
    Source type Subcarrier number Signal bandwidth Signal power
    LTE-A 5 100 MHz $-$10 dBm
  • Table 3   NMSE comparison of the DPD functions
    DPD methods NMSE (dB)
    PA modeling error $-$80.00
    Error of the precise method in [13,14] $-$72.70
    Error of the precise method in [9] $-$80
    Error of (30) in this paper with $P=7$ $-$79.24
    Error of (30) in this paper with $P=5$ $-$78.12