A robust detection method for source number based on translation invariance
By introducing the minimizing fitting error method of translation invariance and lp-norm in the source detection method, the problem of the inapplicable source detection in the pulse noise environment of the prior art is solved, and higher detection accuracy and consistency are achieved, and the calculation amount is reduced.
Patent Information
- Application Number
- CN202011365012.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-11-27
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2040-11-27
AI Technical Summary
The existing source detection method is not applicable in impulse noise environments, especially in water acoustic communications. Traditional methods cannot effectively detect the number of sources, and consistency cannot be guaranteed.
A robust source number detection method based on translation invariance is proposed. By constructing a data matrix and performing singular value decomposition, signal subspace information is estimated, fitting error is minimized using lp-norm, and serial robust low-rank decomposition is adopted to reduce the calculation amount and improve detection accuracy.
In the impulse noise environment, the method can effectively detect the number of sources, improve detection accuracy and consistency, and perform better under low signal-to-noise ratio conditions, and greatly reduce the calculation amount.