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Systems and methods for blind localization of correlated sources

A signal correlation and coefficient technology, applied in directional multi-channel systems, directional multi-channel systems using radio waves, direction finders using radio waves, etc., can solve problems such as violations and algorithm failures

Inactive Publication Date: 2014-03-05
SIEMENS AG
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Problems solved by technology

Prior art source separation and localization methods using time-frequency masks would have problems due to the broadband nature of the acoustic emissions from the power generating equipment and the resulting signal overlap in the time-frequency domain
In particular, the commonly used sparsity assumption that signals are disjoint in the time-frequency domain is violated, and algorithms built on this assumption, such as DUET, will fail

Method used

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  • Systems and methods for blind localization of correlated sources
  • Systems and methods for blind localization of correlated sources
  • Systems and methods for blind localization of correlated sources

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Embodiment Construction

[0033] Herein, a Bayesian paradigm based direction of arrival (DOA) estimation method and system are provided for broadband sources. The method provided according to one aspect of the present invention uses a particle filter to approximate the posterior probability density function of DOA in the time-frequency domain. Unlike other methods, temporal averaging is not required, so the source of motion can be tracked. The method presented here employs novel low-complexity weighting and regularization schemes for fusing information from different frequencies, and for overcoming the overfitting problem when few sensors are available.

[0034] The direction of arrival (DOA) problem is an important problem in array signal processing and is closely related to the discipline of blind source separation (BSS). Both fields have produced rich research and a large number of methods, no doubt for many applications in as different aspects as radar, wireless communication or speech recognition...

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Abstract

A system and a method for a blind direction of arrival estimation are provided for a nonlinear 1-dimensional array of M receivers of J<M unknown signals transmitted through an unknown channel and subject to Gaussian noise. The method overcomes the conditions of that signals be disjoint in the time-frequency domain and / or statistically independent. A likelihood function evaluates a probability for the directions of arrivals. A weighting and regularization scheme selects relevant frequency components. A joint likelihood function of all frequencies is interpreted as a cost or objective function. The time domain is included into the estimation procedure by using a particle filter that operates on the constructed likelihood function and a simple transition kernel for the directions

Description

technical field [0001] The present invention relates to blind separation of signals. More precisely, the invention relates to blind separation of signals generated by correlated sources, also referred to as directions of arrival of the signals. Background technique [0002] Operational problems with main components of power generation (e.g., turbines, generators, boilers, transformers, and associated auxiliary equipment such as boiler feed pumps, cooling water pumps, fans, valves, exhaust gas cleaning systems) are often characterized by their acoustic signature (in terms of sound waves and most Importantly in the ultrasonic range) changes such as arcing, bearing or lubrication problems, moving parts, leaks, etc. Contact-based acoustic emission monitoring of all subcomponents of auxiliary equipment, for example not critical for the continuity of plant operation, is generally uneconomical. The non-contact, microphone-based system can simultaneously monitor large areas with a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/80G01S3/74
CPCG01S3/8006G01S3/74G01S3/80
Inventor H.克劳森J.罗斯卡T.威斯
Owner SIEMENS AG
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