GNSS receiver-oriented interference source positioning method for 5G system, storage medium and equipment

Abstract

The invention discloses a GNSS receiver-oriented interference source positioning method for a 5G system, a storage medium and equipment, and the method comprises the steps: carrying out the sampling of an interference signal received by a base station, and estimating a positioning parameter; substituting the estimated positioning parameters into a position calculation equation to solve the position of the interference source; determining the range of the interference source according to the solving result, selecting the nearest micro base station in the range of the interference source to sample the interference signal again, and estimating the positioning parameter again; and substituting the positioning parameters obtained at the micro base station into the position calculation equationto complete interference source positioning. According to the method, the response speed to the interference source attack and the positioning speed to the interference source are greatly improved, and the influence caused by the interference source can be quickly eliminated.

Description

technical field

[0001] The invention belongs to the technical field of positioning and navigation, and in particular relates to an interference source positioning method, storage medium and equipment for GNSS receivers in a 5G system. Background technique

[0002] Global Navigation Satellite System (GNSS) is a general term for satellite navigation systems that provide continuous positioning, navigation and timing services (Position, Velocity and Time, PVT) for ground users through space satellite constellations. It was born for military applications, which led to the development of jamming technology against it from the very beginning. However, with the rapid development of economy and technology, the demand for GNSS in the civilian field is also increasing. In recent years, the number of mobile smart devices is increasing, and the demand for positioning, navigation and timing services is also increasing. , the ability of GNSS to work properly and provide reliable services ...

Examples

Embodiment

[0105]Consider an ultra-dense networking area with a large number of communication devices and base stations. In this area, there is an interference source that attacks the GNSS receiver. The above-mentioned scheme is used to locate the interference source. The detailed simulation parameters are shown in Table 1.

[0106] Table 1 Simulation parameter table

[0107]

[0108] Comparison scheme

comparative approach 1

[0109] Comparison scheme 1: use the MUSIC algorithm to estimate the angle of arrival of the interference signal.

comparative approach 2

[0110] Comparison scheme 2: Use the chan algorithm for positioning calculation.

[0111] see Figure 4 , is a schematic diagram of the estimation accuracy of the angle estimation method changing with the SNR. From the figure, it can be seen that the estimation error of this method is quite large at low SNR, but when the SNR is higher than -6dB, the pitch angle and The estimation errors of azimuth angles are all less than 5°, which shows that this method is feasible when the signal-to-noise ratio is constant. And when the signal-to-noise ratio further reaches -2dB and above, the estimation accuracy has reached within 1°, which can provide quite high accuracy for the final positioning result. Considering that in the second step of micro base station positioning, the distance between the micro base station and the interference source is quite close, so it has a high signal-to-noise ratio, so this method can be used to estimate AOA parameters and improve the positioning speed.

...

technical field

[0001] The invention belongs to the technical field of positioning and navigation, and in particular relates to an interference source positioning method, storage medium and equipment for GNSS receivers in a 5G system. Background technique

[0002] Global Navigation Satellite System (GNSS) is a general term for satellite navigation systems that provide continuous positioning, navigation and timing services (Position, Velocity and Time, PVT) for ground users through space satellite constellations. It was born for military applications, which led to the development of jamming technology against it from the very beginning. However, with the rapid development of economy and technology, the demand for GNSS in the civilian field is also increasing. In recent years, the number of mobile smart devices is increasing, and the demand for positioning, navigation and timing services is also increasing. , the ability of GNSS to work properly and provide reliable services ...

Examples

Embodiment

[0105]Consider an ultra-dense networking area with a large number of communication devices and base stations. In this area, there is an interference source that attacks the GNSS receiver. The above-mentioned scheme is used to locate the interference source. The detailed simulation parameters are shown in Table 1.

[0106] Table 1 Simulation parameter table

[0107]

[0108] Comparison scheme

comparative approach 1

[0109] Comparison scheme 1: use the MUSIC algorithm to estimate the angle of arrival of the interference signal.

comparative approach 2

[0110] Comparison scheme 2: Use the chan algorithm for positioning calculation.

[0111] see Figure 4 , is a schematic diagram of the estimation accuracy of the angle estimation method changing with the SNR. From the figure, it can be seen that the estimation error of this method is quite large at low SNR, but when the SNR is higher than -6dB, the pitch angle and The estimation errors of azimuth angles are all less than 5°, which shows that this method is feasible when the signal-to-noise ratio is constant. And when the signal-to-noise ratio further reaches -2dB and above, the estimation accuracy has reached within 1°, which can provide quite high accuracy for the final positioning result. Considering that in the second step of micro base station positioning, the distance between the micro base station and the interference source is quite close, so it has a high signal-to-noise ratio, so this method can be used to estimate AOA parameters and improve the positioning speed.

...

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