Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (5): 1696-1705.doi: 10.13229/j.cnki.jdxbgxb20180446

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SLF channel noise suppression method based on adaptive blanking in local variance domain

Peng ZHAO1(),Yu-zhong JIANG1(),Bin CHEN1,Chun-teng LI1,Yang-yong ZHANG2   

  1. 1. College of Electronic Engineering，Naval University of Engineering, Wuhan 430033, China
    2. No. 722 Research Institute of CSIC, Wuhan 430079, China
  • Received:2018-05-07 Online:2019-09-01 Published:2019-09-11
  • Contact: Yu-zhong JIANG E-mail:zhaopeng@cug.edu.cn;jiangyuzhong@tsinghua.org.cn

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Abstract:

The Super Low Frequency (SLF, 3~300 Hz) Channel Noise (CN) impulses are usually smeared by the transient effects in the receivers’ front-end stages, which will make the Blanking Nonlinearity (BNL) lose effectiveness. To solve this problem, based on the analysis of the waveform characteristics of transient response of impulses and the mechanism of performance reduction of the BNL, in conjunction with the consideration that the Local Variance Domain Transforming (LVDT) is capable to intensify the impulsiveness, an adaptive BNL based on LVDT is proposed. The Detection Threshold (DT) for the CN impulses is formulated based on the Constant False Alarm Rate (CFAR) principle and then the DT optimizing principle for the BNL is given. Simulations and real tests show that the proposed method outperforms other common NLs in terms of SLF CN impulse suppression. Since such method needs not to assume the CN model or estimate its parameter, thus is a blind suppression method, therefore, it is more practical.

Key words: communication and information system, channel noise, transient effects of impulse, local variance, constant false alarm rate

CLC Number: 

  • TN85

Fig.1

Transient effects of impulses and local variance"

Fig.2

Dependence of ε(N,S) on N in terms of ASWNRs"

Fig.3

Dependence of lower bound of N for ε(N,S)≤10% on fc in terms of ASWNRs"

Fig.4

Dependence of FAR on ASWNR"

Fig.5

BER performance comparisons in various CN conditions"

Fig.6

BER performance comparisons for various N values"

Fig.7

Real SLF signal and suppression result"

Table 1

Performance comparison for real test"

参 数本文算法LOTNLFCP-BNL
N=8N=64N=128N=1024
SCNRG/dB7.4210.129.988.969.926.08
BERI/%304847434720
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