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Beam sidelobe suppression method based on norm constraint

A technology of sidelobe suppression and norm, applied in the direction of radio wave measurement system, satellite radio beacon positioning system, measurement device, etc., can solve the problem of low signal-to-noise ratio of satellite signal, inability to restore satellite signal, inability to suppress beam sidelobe, etc. problem, to achieve the effect of simplifying the algorithm, improving the operation speed, and ensuring the distortion-free reception

Inactive Publication Date: 2014-12-10
HARBIN ENG UNIV
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Problems solved by technology

However, because the signal-to-noise ratio of the satellite signal is too low, the satellite signal cannot be recovered well if the frequency cycle correlation operation is performed on the satellite signal before the interference is suppressed.
In summary, none of the existing beamforming methods can effectively suppress the beam side lobes and ensure undistorted reception of satellite signals

Method used

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  • Beam sidelobe suppression method based on norm constraint
  • Beam sidelobe suppression method based on norm constraint
  • Beam sidelobe suppression method based on norm constraint

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Embodiment Construction

[0051] like figure 1 As shown, the norm-constrained beam sidelobe suppression method of the present invention includes the following steps:

[0052] Step 1: Establish an array antenna receiving signal model, and calculate the steering vectors of satellite signals and interference signals;

[0053] 1) The array antenna receives satellite signals, interference signals and white space noise, and establishes the model of the array antenna receiving signals;

[0054] Suppose there are M antenna array elements, and the interval between adjacent array elements is λ / 2, where λ is the wavelength of the GPS signal. Suppose the arrival angles of the desired signal and the interfering signal are θ, respectively 0 and θ k (k=1, 2,...P), then the signal received by the array antenna can be expressed as

[0055] x ( t ) = a ( θ 0 ) ...

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Abstract

The invention relates to a beam sidelobe suppression method based on norm constraint. The method includes the steps of 1, establishing an array antenna signal-receiving model and calculating steering vectors of a satellite signal and an interfering signal; 2, determining array amplitude response constraint conditions according to angle-of-arrival ranges of the satellite signal and the interfering signal; 3, subjecting a whole angle space to sparse representation via norms, and determining a cost function of the method through the array amplitude response constraint conditions determined in the step 2; 4, converting non-convex optimization constraint conditions into convex optimization constraint conditions; and 5, calculating an array optimal weight by a weight iteration algorithm and a CVX toolbox to acquire a directional beam of the satellite signal and a directional null of the interfering signal.

Description

technical field [0001] The present invention relates to a beam side lobe suppression method based on norm constraint. Background technique [0002] With the improvement of man-made interference technology, satellites can no longer meet the needs of users by relying only on their spread spectrum system for anti-jamming. According to ICD-200, the anti-jamming tolerance of commercial GPS receivers does not exceed 24dB (depending on the noise level), that is, if the signal-to-interference ratio is greater than 24dB, commercial GPS C / A code receivers cannot keep track of the signal. [0003] At present, the beamforming technology based on the array antenna is one of the mainstream methods in the field of GPS anti-jamming. Even if the interference signal and the satellite signal have overlapping frequency bands, as long as the spatial angle of the satellite signal and the interference signal reaching the receiver can be estimated, the beamforming method The interference can be su...

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Application Information

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IPC IPC(8): G01S19/21
CPCG01S19/21
Inventor 徐定杰李强兰晓明王伟贺瑞刘明凯范岳李伟东韩浩桑靖
Owner HARBIN ENG UNIV
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