Application of Stochastic Resonance Algorithm in the Weak BeiDou Signal Acquisition

CHEN Liang; WANG Xun

doi:10.13203/j.whugis20150337

Volume 43 Issue 4

Apr. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(4): 605-612. > DOI: 10.13203/j.whugis20150337

CHEN Liang, WANG Xun. Application of Stochastic Resonance Algorithm in the Weak BeiDou Signal Acquisition[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4): 605-612. DOI: 10.13203/j.whugis20150337

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Application of Stochastic Resonance Algorithm in the Weak BeiDou Signal Acquisition

CHEN Liang^1,,
WANG Xun^2, ,

1.
QianXuesen Laboratory of Space Technology, Chinse Academic of Space Technology, Beijing 100029, China
2.
Beijing Institute of Automatic control Equipment, Beijing 100074, China

Funds:

The National Natural Science Foundation of China 41601483

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Author Bio:
CHEN Liang, PhD, specializes in the theories and methods of satellite application.E-mail:chenliang@qxslab.cn
Corresponding author:
WANG Xun, master.E-mail:wangxun7990@126.com
Received Date: March 26, 2016
Published Date: April 04, 2018

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Abstract

Abstract

Aiming at the acquisition problem brought by NH code in the signal of BD2 which leads to sensitivity reduction problem by traditional acquisition methods, this paper presents a weak BD2 signal acquisition method based on adaptive stochastic resonance algorithm. By combining the DBZP method with adaptive stochastic resonance algorithm, the method can eliminate the data hopping and NH hopping, and significantly improve the signal-to-noise ratio. The method can be adopted to achieve the fast signal acquisition with high sensitivity characteristic. The simulation and test results verify that, this method provides stronger capacity of acquainting BD2 signal, has more advantages in real-time, high sensitivity and has a higher application value.
- BD2,
- stochastic resonance,
- fast acquisition,
- high sensitivity

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References

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