CN111796236B - Active and passive sensor comprehensive association judgment method based on time-space correlation - Google Patents

Active and passive sensor comprehensive association judgment method based on time-space correlation Download PDF

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CN111796236B
CN111796236B CN202010533204.7A CN202010533204A CN111796236B CN 111796236 B CN111796236 B CN 111796236B CN 202010533204 A CN202010533204 A CN 202010533204A CN 111796236 B CN111796236 B CN 111796236B
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target track
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CN111796236A (en
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陆翔
周恒亮
姚远
匡华星
周亮
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724th Research Institute of CSIC
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20—Instruments for performing navigational calculations

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Abstract

The invention relates to an active and passive sensor comprehensive association judgment method based on space-time correlation. Aiming at the problems of association result jumping, one-to-many error association and the like existing in the traditional association method for observing the target motion characteristics by the active and passive sensors, the invention provides an active and passive sensor track association method based on space-time correlation, which comprises the following specific steps: the method comprises the steps of reading a correlation judgment result based on target motion characteristics, a correlation judgment based on time correlation, a correlation judgment based on space correlation and a comprehensive correlation judgment based on time-space correlation, so that the stability of the correlation judgment result is improved, the problems of one-to-many wrong correlation and the like are solved, and the reliability of the active and passive correlation judgment results is effectively improved.

Description

Active and passive sensor comprehensive association judgment method based on time-space correlation
Technical Field
The invention relates to a correlation method for observing flight paths by a master sensor and a passive sensor
Background
The accurate association and high-confidence fusion of the active and passive sensor data are key cores for realizing the deep fusion of the active and passive sensing data and exerting the integrated sensing efficiency. The existing active and passive association judgment method only depends on the motion characteristics of the target to carry out association judgment, has the problems of unstable association result, one-to-many error association and the like, and is difficult to meet the requirement of high-reliability active and passive fusion application of mass observation data in a complex detection environment.
Disclosure of Invention
The invention provides an active and passive sensor comprehensive association judgment method based on space-time correlation, which effectively reduces the probability of occurrence of phenomena of unstable association result, one-to-many wrong association and the like in the traditional association method by adopting association judgment based on time correlation, association judgment based on space correlation and comprehensive association judgment based on time-space correlation.
The implementation process of the invention mainly comprises the following steps:
step 1, reading and counting a judgment result of the active sensor observation track and the passive sensor observation track which are to be subjected to the association judgment and adopting the association judgment based on the target motion characteristic.
Step 2: and performing correlation judgment based on time correlation on the observed tracks of the active and passive sensors.
And step 3: and performing correlation judgment based on spatial correlation on the observation navigation of the active and passive sensors.
And 4, step 4: and performing comprehensive correlation judgment based on time-space correlation on the observation navigation of the active and passive sensors.
The invention comprehensively utilizes the motion correlation characteristics, the time correlation characteristics and the space correlation characteristics of different sensors for observing the same target to carry out comprehensive correlation judgment on the flight path, thereby solving the problems of unstable correlation result, high one-to-many correlation error rate and the like caused by the correlation judgment only depending on the target motion characteristics in the traditional correlation judgment method of the active and passive sensors, effectively improving the reliability of the correlation judgment result and providing support for the active and passive fusion application.
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FIG. 1 is a comprehensive association decision method for active and passive sensors based on space-time correlation;
fig. 2 is a diagram illustrating an embodiment of a method for determining a comprehensive association between active and passive sensors based on spatiotemporal correlation.
Detailed Description
The implementation process of the embodiment of the present invention is shown in fig. 2, and is specifically described as the following process:
step 1: and reading and counting a plurality of correlation judgment results based on the target motion characteristics.
1) Reading a plurality of association judgment results of the ith target track of the active sensor and the jth target track of the passive sensor based on motion characteristics;
2) recording the judgment times of judging as 'associated' in the multiple association judgment results as N, and recording the judgment times of judging as 'unassociated' in the multiple association judgment results as M;
step 2: and (4) association decision based on time correlation.
1) Setting a threshold: setting a time decorrelation threshold λr0.1, set time re-correlation threshold lambdad＝0.9；
2) And (3) performing time correlation judgment: if it is
Figure BDA0002536152830000021
Judging that the ith target track of the active sensor and the jth target track of the passive sensor are time correlation decorrelation; if it is
Figure BDA0002536152830000022
Judging that the ith target track of the active sensor and the jth target track of the passive sensor are time-correlation; if it is
Figure BDA0002536152830000023
Maintaining the previous decision;
and step 3: and (4) association decision based on spatial correlation.
1) Recording one-to-many correlation decision results: if the ith target track of the active sensor and the jth target track of the passive sensor are judged to be time correlation, the multiple correlation judgment results based on the target motion characteristics of the ith target track of the active sensor and the kth target track of the passive sensor are recorded, and the frequency of judging as 'correlation' in the multiple correlation judgment results is recorded as N2；
2) Performing correlation decision of spatial correlation: if N > N2Judging that the ith target track of the active sensor and the jth target track of the passive sensor are in spatial correlation; if N is less than or equal to N2Judging that the ith target track of the active sensor and the kth target track of the passive sensor are in spatial correlation;
and 4, step 4: and (4) comprehensive association judgment based on time-space correlation.
The synthetic association decision is performed according to the following table.
Table 1 comprehensive association decision
Figure BDA0002536152830000024

Claims (1)

1. An active and passive sensor comprehensive association judgment method based on space-time correlation is characterized in that:
step 1: reading a plurality of association judgment results of the ith target track of the active sensor and the jth target track of the passive sensor based on motion characteristics; recording the judgment times of judging as 'associated' in the multiple association judgment results as N, and recording the judgment times of judging as 'unassociated' in the multiple association judgment results as M;
step 2: setting a time decorrelation threshold λr0.1, set time re-correlation threshold lambdad0.9; if it is
Figure FDA0002536152820000011
Judging that the ith target track of the active sensor and the jth target track of the passive sensor are time correlation decorrelation; if it is
Figure FDA0002536152820000012
Judging that the ith target track of the active sensor and the jth target track of the passive sensor are time-correlation; if it is
Figure FDA0002536152820000013
Maintaining the previous decision;
and step 3: if the ith target track of the active sensor and the jth target track of the passive sensor are judged to be time correlation, the multiple correlation judgment results based on the target motion characteristics of the ith target track of the active sensor and the kth target track of the passive sensor are recorded, and the frequency of judging as 'correlation' in the multiple correlation judgment results is recorded as N2(ii) a If N > N2Judging that the ith target track of the active sensor and the jth target track of the passive sensor are in spatial correlation; if N is less than or equal to N2Judging that the ith target track of the active sensor and the kth target track of the passive sensor are in spatial correlation;
and 4, step 4: if the ith target track of the active sensor and the jth target track of the passive sensor meet the spatial correlation and the temporal correlation, the comprehensive correlation judgment result is correlation; if the spatial correlation is not correlated and the time correlation is correlated, synthesizing the correlation judgment result to maintain the last correlation judgment result; if the correlation of the spatial correlation and the correlation of the time are not satisfied, synthesizing the correlation judgment result to maintain the last correlation judgment result; and if the spatial correlation is not correlated and the temporal correlation is not correlated, the comprehensive correlation judgment result is not correlated.
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CN104464379A (en) * 2014-12-09 2015-03-25 中国船舶重工集团公司第七0九研究所 Sailing plan and radar track correlating method and system based on sectional matching
CN110598730A (en) * 2019-07-29 2019-12-20 南京理工大学 Flight path association algorithm based on decision tree
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