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Multi-target direct positioning method based on block sparse Bayesian

A positioning method and block sparse technology, applied in the field of signal processing, can solve problems such as ignoring correlation, and achieve high positioning accuracy and resolution

Pending Publication Date: 2022-04-19
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

However, this approach is easily proven to be suboptimal from the perspective of information theory, because it ignores the correlation between information of the same target in different receiving base stations

Method used

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  • Multi-target direct positioning method based on block sparse Bayesian
  • Multi-target direct positioning method based on block sparse Bayesian
  • Multi-target direct positioning method based on block sparse Bayesian

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Embodiment Construction

[0047] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0048] Such as figure 1 As shown, the block-sparse Bayesian-based direct localization method includes the following steps:

[0049] S1. Construct a signal propagation equation under the condition that N radiation sources from the target area transmit signals and are received by L receiving base stations with M receiving antennas;

[0050] The signal received by the receiving base station n is specifically:

[0051]

[...

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Abstract

The invention relates to the field of signal processing, in particular to a multi-target direct positioning method combining time of arrival (TOA) and angle of arrival (AOA) based on block sparse Bayesian. The method mainly comprises the following five parts: received signal processing, region-of-interest division, over-complete dictionary construction, parameter iterative updating and posteriori mean value accumulation. Received signal processing is used for preparing for parameter iteration updating; the division of the region of interest is to construct an over-complete dictionary on a specific grid; the over-complete dictionary is constructed to provide a basis for parameter iteration updating in the next step; the parameter iterative updating is to recover a radiation source signal to obtain a posteriori mean value of the signal; posterior mean value accumulation is used for obtaining a likelihood estimation value of each grid point, and the index of the dictionary corresponding to the likelihood estimation value is the estimation position of the radiation source. Compared with DPD and BOMP methods, the method is higher in resolution and better in positioning performance, especially under the conditions of low signal-to-noise ratio and few snapshots.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a multi-target direct positioning method based on block sparse Bayesian joint TOA (time of arrival) and AOA (angle of arrival). Background technique [0002] In traditional target positioning, two steps are usually used to locate the target. In the first step, the positioning parameters containing the target position information are estimated from the received signal. In the second step, the relationship between the obtained positioning parameters and the target position is used to establish and solve the equation. However, this approach is easily proven to be sub-optimal from the perspective of information theory, because it ignores the correlation between information of the same target in different receiving base stations. The concept of direct positioning is to directly process the original received signal data of each receiving base station without estimating the target posi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02G06F17/14
CPCH04W4/023H04W4/025G06F17/142
Inventor 郭海召窦修全
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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