Reducing scattering center data using multi-volume aggregation
First Claim
1. A method to reduce scattering centers (SC) comprising:
- receiving a set of SC data points associated with an object in three-dimensional space;
using a computer processor for;
partitioning the SC data points into a plurality of volumes;
aggregating the SC data points within each volume based on an aggregate threshold;
combining the aggregated SC data points associated with each volume to form a reduced set of SC data points;
comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics; and
if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume.
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Abstract
In one example, a method to reduce scattering centers (SC) includes receiving a set of SC data points associated with an object in three-dimensional space, partitioning the SC data points into a plurality of volumes, aggregating the SC data points within each volume based on an aggregate threshold and combining the aggregated SC data points associated with each volume to form a reduced set of SC data points. The method also includes comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics and if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume.
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Citations
20 Claims
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1. A method to reduce scattering centers (SC) comprising:
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receiving a set of SC data points associated with an object in three-dimensional space;
using a computer processor for;partitioning the SC data points into a plurality of volumes; aggregating the SC data points within each volume based on an aggregate threshold; combining the aggregated SC data points associated with each volume to form a reduced set of SC data points; comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics; and if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An article comprising a machine-readable medium that stores executable instructions to reduce scattering centers (SC), the instructions causing a machine to:
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receive from a radar signature modeling tool a set of SC data points associated with an object in three-dimensional space; partition the SC data points into a plurality of volumes; aggregate the SC data points within each volume based on an aggregate threshold; combine the aggregated SC data points associated with each volume to form a reduced set of SC data points; compare the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics; and if the reduced set of SC data points meets the set of comparison metrics, increase the size of the volumes and performing another iteration of reducing the SC data points by volume. - View Dependent Claims (8, 9, 10, 11)
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12. An apparatus comprising:
circuitry to; receive a set of SC data points associated with an object in three-dimensional space; partition the SC data points into a plurality of volumes; aggregate the SC data points within each volume based on an aggregate threshold; combine the aggregated SC data points associated with each volume to form a reduced set of SC data points; compare the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics; and if the reduced set of SC data points meets the set of comparison metrics, increase the size of the volumes and performing another iteration of reducing the SC data points by volume. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A method to reduce scattering centers (SC) comprising:
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receiving from a radar signature modeling tool a set of SC data points associated with an object in three-dimensional space; using a computer processor for; partitioning the SC data points into a plurality of volumes; aggregating the SC data points within each volume based on an aggregate tlreshold; combining the aggregated SC data points associated with each volume to form a reduced set of SC data points; comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics based on a set of comparison metrics comprising; a similarity metric; a maximum amplitude metric; a length metric; and a relative maximum amplitude metric; and if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume. - View Dependent Claims (19, 20)
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Specification