Signal Detection Based on Sigmoid Function in Non-Gaussian Noise

Zhen DAI; Pingbo WANG; Hongkai WEI

doi:10.11999/JEIT190012

Volume 41 Issue 12

Dec. 2019

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Zhen DAI, Pingbo WANG, Hongkai WEI. Signal Detection Based on Sigmoid Function in Non-Gaussian Noise[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2945-2950. doi: 10.11999/JEIT190012

Citation:

Zhen DAI, Pingbo WANG, Hongkai WEI. Signal Detection Based on Sigmoid Function in Non-Gaussian Noise[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2945-2950. doi: 10.11999/JEIT190012

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Signal Detection Based on Sigmoid Function in Non-Gaussian Noise

doi: 10.11999/JEIT190012

College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China

Funds: The National Natural Science Foundation of China (51109218)

Received Date: 2019-01-07
Rev Recd Date: 2019-05-08

Available Online: 2019-05-24

Publish Date: 2019-12-01

Abstract

Abstract

To solve the problem of weak signals detection in non-Gaussian background, a method based on Sigmoid function is proposed which is named Sigmoid Function Detector (SFD). Firstly, the non-Gaussian background is modeled as a mixed Gaussian model. Based on this, the relationship between parameter k and SFD's performance and characteristics are systematically analyzed. It is pointed out that SFD will be a constant false alarm detector when its detection performance is optimal. Secondly, a new non-parametric detector is proposed via fixing the parameter k, which has significant improvement over matched filter. Finally, simulation analysis is carried out to verify the effectiveness and superiority of SFD.
- Signal detection,
- Non-Gaussian noise,
- Sigmoid function,
- Constant false alarm,
- Non-parametric detection

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References(15)

References

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