A Robust Adaptive Beamforming Method Based on Variable Uncertain Set Constraints

A robust self-adaptive and deterministic set technology, applied in radio wave measurement systems, instruments, etc., can solve the problem of lack of practicality of the WCPO method, and achieve good target angle resolution and interference suppression capabilities, good performance, and computational complexity moderate effect

Active Publication Date: 2021-12-28
INST OF ACOUSTICS CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

These two shortcomings lead to the lack of practicality of the WCPO method

Method used

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  • A Robust Adaptive Beamforming Method Based on Variable Uncertain Set Constraints
  • A Robust Adaptive Beamforming Method Based on Variable Uncertain Set Constraints
  • A Robust Adaptive Beamforming Method Based on Variable Uncertain Set Constraints

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Embodiment 1

[0131] Such as figure 1 As shown, Embodiment 1 of the present invention provides a robust adaptive beamforming method based on variable uncertain set constraints.

[0132] (1) Target signal power correction

[0133] Observe the optimization function (6) formula under the worst-case performance optimal criterion, and estimate the target power of the molecule Have:

[0134]

[0135] where σ 2 is the real target signal power. Combining formula (7) and formula (8) can get:

[0136]

[0137] Substituting the above formula into formula (19), the estimated value of the target power related to the optimal weight vector w can be obtained and the true value σ 2 The relationship between:

[0138]

[0139] The conditions for taking the equality of the inequality on the right side of the above formula are k∈Z, in general, the estimated value of the target power output by the WCPO method is greater than the real value, which is the reason for the systematic overestimatio...

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Abstract

The present invention relates to the technical field of underwater acoustic signal processing, and in particular to a robust adaptive beamforming method based on variable uncertain set constraints. The method includes: calculating the sample covariance matrix of the received array signal, performing eigenvalue decomposition, And calculate the projection vector corresponding to each scanning angle; use the projection vector to obtain K target orientations by the LSMI method, and then estimate the target power and noise power by the CBF method; calculate the covariance matrix error by K target orientations, target power and noise power Estimating the upper bound of the norm; calculating the upper bound estimation of the steering vector error norm of the current scanning angle; solving the WCPO problem under the uncertainty set constraint of the upper bound estimation of the error norm upper bound estimation of the parameter covariance matrix and the upper bound estimation of the steering vector error norm, Obtain the best weighted vector and the estimation of the spatial power spectrum; modify the estimation of the spatial power spectrum according to the best weighted vector; until the solution of all scanning angles is completed.

Description

technical field [0001] The invention relates to the technical field of underwater acoustic signal processing, in particular to a robust adaptive beamforming method based on variable uncertain set constraints. Background technique [0002] Array signal beamforming methods are widely used in sonar, radar, wireless communication and medical imaging and other fields. Conventional beamforming (CBF) method has stable performance and simple calculation, but the target angle resolution is insufficient and the interference suppression ability is poor. Adaptive beamforming (MVDR or Capon) method has excellent target angle resolution ability and interference suppression ability under ideal conditions. However, in actual systems, it is usually difficult to meet the ideal conditions. Factors such as observation direction error, formation calibration error, channel amplitude and phase error will cause steering vector mismatch, and limited received snapshot data will lead to covariance ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/539
CPCG01S7/539
Inventor 王少强王海斌尹京升
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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