Classification system for radar and sonar applications
First Claim
1. A classifier for classifying a given radar track segment obtained from a radar system, the radar system having a primary surveillance radar for providing primary radar data and a secondary surveillance radar for providing secondary radar data, wherein the classifier comprises:
- a) a pre-processing stage, the preprocessing stage forms the given radar track segment and generates principal data based on the primary radar data or a combination of secondary and primary radar data, and extension data based on the primary radar data;
b) a feature extraction stage connected to the pre-processing stage, the feature extraction stage processes at least one of the primary and secondary radar data associated with the given radar track segment to provide a plurality of feature values;
c) a classification stage connected to the feature extraction stage, the classification stage generates a principal classification result and an extension classification result for the given radar track segment based on at least a portion of the feature values;
or the classification stage generates a combined classification result for combined principal and extension feature values; and
,d) a combiner stage connected to the classification stage, the combiner stage combines the extension and principal classification results to provide a classification result for the given radar track segment when the classification stage provides the principal and extension classification results.
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Accused Products
Abstract
A system and method for target classification for an aircraft surveillance radar is provided. In one implementation, the track classifier provides tracks with an updated probability value based on its likelihood to conform to aircraft and non-aircraft target behavior. The track classifier identifies false tracks that may arise from weather and biological targets, and can detect aircrafts lacking Secondary Surveillance Radar (SSR) data. Various features and combinations of features are evaluated using a proposed clustering performance index (CPI) and used to discriminate between aircrafts and false tracks.
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Citations
32 Claims
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1. A classifier for classifying a given radar track segment obtained from a radar system, the radar system having a primary surveillance radar for providing primary radar data and a secondary surveillance radar for providing secondary radar data, wherein the classifier comprises:
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a) a pre-processing stage, the preprocessing stage forms the given radar track segment and generates principal data based on the primary radar data or a combination of secondary and primary radar data, and extension data based on the primary radar data; b) a feature extraction stage connected to the pre-processing stage, the feature extraction stage processes at least one of the primary and secondary radar data associated with the given radar track segment to provide a plurality of feature values; c) a classification stage connected to the feature extraction stage, the classification stage generates a principal classification result and an extension classification result for the given radar track segment based on at least a portion of the feature values;
or the classification stage generates a combined classification result for combined principal and extension feature values; and
,d) a combiner stage connected to the classification stage, the combiner stage combines the extension and principal classification results to provide a classification result for the given radar track segment when the classification stage provides the principal and extension classification results. - View Dependent Claims (2)
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3. A method for classifying a given radar track segment obtained from a radar system, the radar system having a primary surveillance radar for providing primary radar data and a secondary surveillance radar for providing secondary radar data, wherein the method comprises:
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a) forming the given radar track segment and generating principal data based on the primary and secondary radar data, and extension data based on the primary radar data; b) processing at least one of the primary and secondary radar data associated with the given radar track segment and a portion of a previous associated radar track segment to provide a plurality of feature values; c) generating either a principal classification result and an extension classification result or a combined classification result for combined principal and extension feature values for the given radar track segment based on at least a portion of the feature values; and
,(d) combining the extension and principal classification results to provide a classification result for the given radar track segment when the principal and extension classification results are generated. - View Dependent Claims (4, 5)
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6. A classifier comprising:
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a) a pre-processing stage adapted to receive raw track data and to segment the raw track data to provide a plurality of track segment data for a given track; b) a feature extraction stage coupled to receive the track segment data from said pre-processing stage and to operate upon the track segment data to provide a plurality of feature values; and c) a classification stage coupled to operate upon the plurality of feature values provided by said feature extraction stage to provide a classification result. - View Dependent Claims (7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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8. A classifier comprising:
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a) a pre-processing stage adapted to receive raw track data and to segment the raw track data to provide a plurality of track segment data for a given track; b) a feature extraction stage coupled to receive the track segment data from said pre-processing stage and to operate upon the track segment data to provide a plurality of feature values; and c) a classification stage coupled to operate upon the plurality of feature values provided by said feature extraction stage to provide a classification result wherein the classifier is adapted to classify a target obtained from a system having a sensor subsystem which provides primary data and optionally secondary data to the classifier and wherein the sensor subsystem includes a transponder subsystem for providing the optional secondary data.
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24. A method for classifying a given observation obtained from a sensor system, the sensor system having a sensor subsystem for providing primary data and optionally a transponder system for providing secondary data, wherein the method comprises:
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a) receiving raw track data; b) segmenting the raw track data to provide a plurality of track segment data for a given track; c) operating on the track segment data to provide a plurality of feature values; and d) operating on the plurality of feature values to provide a classification result for the given track segment. - View Dependent Claims (32)
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25. A method for classifying a given observation obtained from a sensor subsystem, the sensor system having a sensor subsystem for providing primary data and optionally a transponder system for providing secondary data, wherein the method comprises:
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a) receiving new track data; b) segmenting the raw track data to provide a plurality of tract segment data for a given track; c) operating on the track segment data to provide a plurality of feature values; and d) operating on the plurality of feature values to provide a classification result for the given track segment wherein segmenting the raw track data to provide a plurality of track segment data for a given track includes; (1) generating principal data based upon the primary and secondary data; and (2) generating extension data based upon the primary data. - View Dependent Claims (26, 27, 28, 29, 30, 31)
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Specification