High-orbit satellite CEI signal frequency estimation method based on deep learning

A signal frequency, high-orbit satellite technology, applied in satellite radio beacon positioning systems, instruments, measurement devices, etc., can solve problems such as particularly obvious performance, unsatisfactory adaptability, and limited improvement of Rife algorithm. Improve frequency estimation accuracy, effectively filter and reduce, and reduce the effect of directional errors

Active Publication Date: 2022-05-13
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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Problems solved by technology

These improved Rife algorithms either combine amplitude and phase information, or perform a fixed-value spectrum shift on the decision signal, or simplify the FFT operation. The improvement effect on the Rife algorithm is relatively limited, which is especially obvious under the condition of low signal-to-noise ratio. , and the adaptability to the problem of differential phase estimation under high-precision measurement of high-orbit satellites cannot meet the requirements

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  • High-orbit satellite CEI signal frequency estimation method based on deep learning
  • High-orbit satellite CEI signal frequency estimation method based on deep learning
  • High-orbit satellite CEI signal frequency estimation method based on deep learning

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Embodiment Construction

[0033] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0034] The high-orbit satellite signals processed by the CEI survey correlator come from two geometrically separated ground stations. The time difference between the arrival of the signal wavefront from the high-orbit satellite at both ends of the baseline is approximately:

[0035]

[0036] In the formula, T is the time difference, is the baseline vector from the first station to the second station, is the direction vector of the high-orbit satellite, and The included angle is θ. According to formula (2), when the baseline is determined, the θ angle measurement error caused by T measurement error is expressed as:

[0037]

[0038] It can be seen from formula (2) that the angle measurement error Δθ is inversely proportional to the length of the baseline D, and is proportional to the measurement error ΔT of T. Therefore, to obtain high-preci...

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Abstract

Therefore, the invention provides the high-orbit satellite CEI signal frequency estimation method based on deep learning, and high-precision estimation of the high-orbit satellite CEI signal frequency can be realized. In order to solve the problem that the precision of a traditional frequency estimation method is greatly reduced due to the fact that the signal-to-noise ratio of a signal is low, a large amount of real high-orbit satellite CEI data is learned through frequency representation based on the feed-forward deep neural network, the frequency estimation precision under the condition of the low signal-to-noise ratio is fully improved, and the frequency estimation accuracy is improved. And meanwhile, the frequency estimation precision under the medium and high signal-to-noise ratio condition is further improved.

Description

technical field [0001] The invention relates to the technical field of signal frequency estimation, in particular to a method for estimating the CEI signal frequency of high-orbit satellites based on deep learning. Background technique [0002] With the development of space detection technology, GEO orbit has become an important orbit type for communication, meteorology, reconnaissance, tracking and scientific research due to its unique high-orbit and geostationary characteristics. High-orbit satellites, especially GEO satellites, play an important role in many fields such as navigation and timing, data transmission, early warning and detection, and the requirements for their own positioning accuracy are getting higher and higher. [0003] Phase interferometry technology is a passive angle measurement and tracking method based on the downlink signal of the aircraft. At present, there are mainly "very long baseline interferometry (VLBI)" and "connected element interferometry ...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G01S19/37
CPCG01S19/37
Inventor高泽夫焦义文杨文革马宏吴涛李冬毛飞龙李超孙宽飞周扬滕飞陈雨迪卢志伟
OwnerPLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV