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A Direct Radiation Source Localization Method Combined with Time Difference of Arrival and Angle of Arrival Information under Sparse Bayesian Framework

A sparse Bayesian and positioning method technology, applied in the field of direct positioning of radiation sources, can solve the problems of underutilization of effective information and failure of system positioning capabilities to be fully exploited, and achieve good positioning performance

Active Publication Date: 2022-03-11
HARBIN INST OF TECH
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AI Technical Summary

Problems solved by technology

For the existing direct positioning algorithm that combines time difference of arrival and angle of arrival information, its application limitation lies in the need to predict the number of targets
In addition, the existing methods do not make full use of the effective information in the received data, resulting in the system's positioning ability not being fully exploited

Method used

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  • A Direct Radiation Source Localization Method Combined with Time Difference of Arrival and Angle of Arrival Information under Sparse Bayesian Framework
  • A Direct Radiation Source Localization Method Combined with Time Difference of Arrival and Angle of Arrival Information under Sparse Bayesian Framework
  • A Direct Radiation Source Localization Method Combined with Time Difference of Arrival and Angle of Arrival Information under Sparse Bayesian Framework

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Embodiment 1

[0075] A direct positioning method of radiation source combined with time difference of arrival and angle of arrival information under the sparse Bayesian framework, such as figure 1 As shown, the direct positioning method of the radiation source includes:

[0076] Step 1: Divide the received data into multiple frames, and each frame contains multiple samples; after performing discrete Fourier transform on each frame of data, take out the data with the largest frequency point and parallelize it to obtain a parallelization model; in the sparse Bayesian framework Combine time difference of arrival and angle of arrival information to obtain a sparse model of received data;

[0077] Step 2: Obtain the posterior update of the signal statistical parameters according to the Gaussian statistical characteristics of the signal;

[0078] Step 3: Use the marginal probability density integral to obtain the parameter estimation cost function in the sense of maximum likelihood; use the expe...

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Abstract

The invention relates to a radiation source direct positioning method combined with time difference of arrival and arrival angle information under a sparse Bayesian framework, belonging to the technical field of radiation source positioning. The radiation source direct positioning method includes: sparse modeling of received data combined with time difference of arrival and angle of arrival information; posteriori update of signal statistical parameters; and calculation of model parameters. This method is suitable for the radiation source location system where each base station receives strictly synchronously. The method proposed in the present invention can obtain better positioning performance than existing methods without knowing the number of targets and manually setting hyperparameters.

Description

technical field [0001] The invention relates to a radiation source direct positioning method combined with time difference of arrival and arrival angle information under a sparse Bayesian framework, and belongs to the technical field of radiation source positioning. Background technique [0002] Radiation source location technology is an important research topic in the fields of radar, sonar and wireless communication. Since the traditional two-step localization method requires an additional data pairing step, a method that directly uses the data received by the array to estimate the target position has gradually attracted attention. For the existing direct positioning algorithm that combines time difference of arrival and angle of arrival information, its application limitation lies in the need to predict the number of targets. In addition, the existing methods do not make full use of the effective information in the received data, resulting in the system's positioning abi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S5/06G01S5/02
CPCG01S5/06G01S5/0278G01S5/0018
Inventor 毛兴鹏陈敏求赵春雷
Owner HARBIN INST OF TECH