A Lattice Structure Optimization Method and Sensitivity Analysis of Finite Impulse Response Filter

ZHUANG Ling; ZHANG Wenjing

doi:10.11999/JEIT210028

Volume 44 Issue 2

Feb. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(2): 686-693

ZHUANG Ling, ZHANG Wenjing. A Lattice Structure Optimization Method and Sensitivity Analysis of Finite Impulse Response Filter[J]. Journal of Electronics & Information Technology, 2022, 44(2): 686-693. doi: 10.11999/JEIT210028

Citation:

ZHUANG Ling, ZHANG Wenjing. A Lattice Structure Optimization Method and Sensitivity Analysis of Finite Impulse Response Filter[J]. Journal of Electronics & Information Technology, 2022, 44(2): 686-693. doi: 10.11999/JEIT210028

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A Lattice Structure Optimization Method and Sensitivity Analysis of Finite Impulse Response Filter

doi: 10.11999/JEIT210028

ZHUANG Ling,
ZHANG Wenjing^,

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Engineering Research Center of Mobile Communications of the Ministry of Education,Chongqing 400065, China
3.
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China

Funds: Project Supported by the 29th Research Institute of CETC

Received Date: 2021-01-08
Rev Recd Date: 2021-04-16

Available Online: 2021-04-29

Publish Date: 2022-02-25

Abstract

Abstract

Finite Impulse Response(FIR) filter is the main component of multi-carrier modulation system in wireless communication research. Considering the problem of FIR filter performance degradation caused by the finite word length effect, an FIR filter lattice structure is proposed to optimize the filter coefficient error caused by quantization, that is, to reduce the coefficient sensitivity. The state space structure is used to express the corresponding improved lattice structure coefficients, and the coefficient sensitivity expression is derived and analyzed. The simulation results show that the sensitivity of the improved lattice structure coefficient is related to the sampling period. Compared with the traditional lattice structure, under the constraints of quantization word length and sampling period, the frequency response characteristic curve of the improved lattice structure is closer to the ideal frequency response characteristic curve, the coefficient sensitivity is smaller, and the ability of resisting finite word length effect is better.
- Finite Impulse Response(FIR)filter,
- Finite word length,
- Lattice structure,
- State space,
- Coefficient sensitivity

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References(15)

References

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