Density Estimation Models for Strong Nonlinearities in RF Power Amplifiers
被引:0
作者:
Khan, Zain Ahmed
论文数: 0引用数: 0
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机构:
Univ Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
KTH Royal Inst Technol, Dept Signal Proc, ACCESS Linnaeus Ctr, S-10044 Stockholm, SwedenUniv Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
Khan, Zain Ahmed
[1
,2
]
Zenteno, Efrain
论文数: 0引用数: 0
h-index: 0
机构:
Univ Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
KTH Royal Inst Technol, Dept Signal Proc, ACCESS Linnaeus Ctr, S-10044 Stockholm, SwedenUniv Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
Zenteno, Efrain
[1
,2
]
Isaksson, Magnus
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机构:
Univ Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, SwedenUniv Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
Isaksson, Magnus
[1
]
Handel, Peter
论文数: 0引用数: 0
h-index: 0
机构:
KTH Royal Inst Technol, Dept Signal Proc, ACCESS Linnaeus Ctr, S-10044 Stockholm, SwedenUniv Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
Handel, Peter
[2
]
机构:
[1] Univ Gavle, Dept Elect Math & Nat Sci, S-80176 Gavle, Sweden
[2] KTH Royal Inst Technol, Dept Signal Proc, ACCESS Linnaeus Ctr, S-10044 Stockholm, Sweden
power amplifier;
density estimation;
power amplifier modeling;
nonlinearities;
memory polynomials;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
The paper presents a method for modeling strong nonlinear effects in power amplifiers based on the principles of density estimation. The static nonlinear transfer function is obtained by averaging measured data. The performance obtained with density estimation is similar to the one using high order nonlinear static polynomial models. The benefit of considered method over the ones using polynomial models is that the former estimates blindly the structure of the transfer function and does not suffer from numerical instabilities.