Single-frequency network radar multi-target tracking method

A multi-target tracking, single-frequency network technology, applied in the multi-target tracking field of single-frequency network radar, can solve the problems of data association and target tracking performance degradation

Active Publication Date: 2015-04-08
WUHAN UNIV
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Problems solved by technology

The aforementioned patent (201310739890.3) provides a heuristic data association method, which can deal with the single-frequency network ambiguity problem in relativel

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  • Single-frequency network radar multi-target tracking method
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  • Single-frequency network radar multi-target tracking method

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Embodiment Construction

[0058] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0059] please see figure 1 , the single frequency network radar multi-target tracking method proposed by the present invention comprises the following steps:

[0060] Step 1, Correlation Hypothesis Construction: Select a certain number of measurement and sending and receiving pairs to correlate and construct low-dimensional correlation hypotheses;

[0061] Step 2, correlation hypothesis judgment: quickly judge all the correlation hypotheses obtained in step 1;

[0062] Step 3, data collation: collate the accepted association hypotheses in step 2 to form can...

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Abstract

The invention discloses a single-frequency network radar multi-target tracking method. The method comprises a measurement interconnection module and a sequence tracking module. The measurement interconnection includes selecting a certain number of measurement and sending-receiving pairs to build low-dimensional association assumptions for association, quickly determining all of the association assumptions to remove incorrect association assumptions as for as possible, sorting association assumptions accepted in the last step, and solving to obtain second measurement after measurement interconnection on the basis of an overall association 0-1 integer programming model built according to sorted data in a single-frequency network. The sequence tracking is achieved based on the second measurement through Kalman filtering. The single-frequency network radar multi-target tracking method can be used for solving association fuzziness of measurement, a transmitting station and a target of a radar in the single-frequency network, greatly reduces the computation complexity by combining a heuristic method and an optimization model, achieves the multi-target tracking performance close to the known case of the association relationship and has popularization and application values.

Description

technical field [0001] The invention belongs to the field of radar data processing, and relates to a multi-sensor multi-target tracking method, in particular to a multi-target tracking method for a single frequency network radar. Background technique [0002] The radar system has experienced the transformation from mechanical scanning to phased array, and now one direction is from single base to distributed (networked) development, which is representative of multiple-input multiple-output (multiple-input multiple-output) , abbreviated as MIMO) radar. In many research discussions, most of them assume that the waveforms of each transmitting station of MIMO radar are orthogonal, which is usually realized by frequency staggering or waveform coding. [0003] It is worth noting that with the substantial development of synchronization and modulation coding technology, a new coverage technology of transmitting station networking has been successfully realized, that is, Single Frequ...

Claims

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Application Information

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IPC IPC(8): G01S7/41G01S13/66
CPCG01S7/41G01S13/66
Inventor 万显荣易建新吕敏程丰
Owner WUHAN UNIV
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