Angle of arrival estimation in a radio communications network
US-2018337739-A1 · Nov 22, 2018 · US
US11067659B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11067659-B2 |
| Application number | US-201615380310-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 15, 2016 |
| Priority date | Dec 15, 2016 |
| Publication date | Jul 20, 2021 |
| Grant date | Jul 20, 2021 |
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A system and method for rank estimation of electromagnetic emitters is provided. One exemplary feature of the system and method includes the use of a Fixed Sigma Gaussian Mixture Model (FSGMM) to determine a rank estimation of electromagnetic emitters. Another exemplary feature of the system and method includes the use of a Gaussian Mixture Model (GMM) clustering approach in conjunction with an Akaike Criterion Information (AIC) to determine a number of clusters and associated statistics of emitters.
Opening claim text (preview).
The invention claimed is: 1. A method for rank estimation of electromagnetic emitters comprising: measuring Angles of Arrival (AoAs) from a plurality of signals emitted from at least one electromagnetic emitter received at a detection system; providing an estimated accuracy of the AoAs by the detection system; providing an assigned track to one or more of the AoAs; creating a histogram of the AoAs versus azimuth using the estimated accuracy of the AoAs and the assigned track of the AoAs; determining a rank estimation of at least one predicted electromagnetic emitter by fitting a Fixed Sigma Gaussian Mixture Model (FSGMM) to the histogram; and reporting the rank estimation associated with the at least one predicted electromagnetic emitter. 2. The method for rank estimation of electromagnetic emitters of claim 1 , wherein fitting the FSGMM to the histogram is accomplished by utilizing at least one Gaussian curve having a fixed sigma to fit the histogram. 3. The method for rank estimation of electromagnetic emitters of claim 1 , wherein the histogram is a voltage-weighted histogram. 4. The method for rank estimation of electromagnetic emitters of claim 3 , wherein the voltage-weighted histogram is created based on voltage weighting of the AoAs where the voltage weighting is V current /V mean . 5. The method for rank estimation of electromagnetic emitters of claim 4 , further comprising: imposing an upper limit ((V current /V mean ) upper ) and a lower limit ((V current /V mean ) lower ) on the voltage-weighted histogram. 6. The method for rank estimation of electromagnetic emitters of claim 3 , further comprising: computing an error metric for the FSGMM fit to the voltage-weighted histogram. 7. The method for rank estimation of electromagnetic emitters of claim 1 , further comprising: calculating a theoretical sum of residuals; calculating a measured sum of residuals; determining a rank selection metric by comparing the ratio of the calculated theoretical sum of residuals to the calculated measured sum of residuals; and down-selecting a rank hypothesis that is a lowest rank corresponding to a certain equality between the calculated theoretical sum of residuals and the calculated measured sum of residuals. 8. The method for rank estimation of electromagnetic emitters of claim 7 , further comprising: establishing an expected measurement noise based on the calculated theoretical sum of residuals. 9. The method for rank estimation of electromagnetic emitters of claim 8 , wherein a minimum number of the at least one Gaussian curve that fits the voltage-weighted histogram within the established expected measurement noise is a returned rank of the FSGMM. 10. The method for rank estimation of electromagnetic emitters of claim 1 , further comprising: preconditioning the AoAs prior to assigning the track to the AoAs. 11. The method for rank estimation of electromagnetic emitters of claim 1 , further comprising: calculating a hard score; calculating a soft score; analyzing the calculated hard score and the calculated soft score to check an accuracy of the FSGMM fit before reporting the track associated with the at least one predicted electromagnetic emitter. 12. The method for rank estimation of electromagnetic emitters of claim 11 , wherein when the calculated soft score of the rank estimation below a chosen rank is within 4% of the chosen rank, then the rank estimation is reduced to a lower rank. 13. The method for rank estimation of electromagnetic emitters of claim 1 , wherein the measuring AoAs from at least one electromagnetic emitter occurs over a time gate window. 14. A non-transitory computer-readable medium storing a plurality of instructions which when executed by one or more processors causes the one or more processors to perform a method for rank estimation of electromagnetic emitters, the plurality of instructions for the method for rank estimation of electromagnetic emitters comprising: instructions for measuring Angles of Arrival (AoAs) of a plurality of signals emitted from at least one electromagnetic emitter received at a detection system; instructions for providing an estimated accuracy of the AoAs by the detection system; instructions for providing an assigned track to one or more of the AoAs; instructions for creating a histogram of the AoAs versus azimuth using the estimated accuracy of the AoAs and the assigned track of the AoAs; instructions for determining a rank estimation of at least one predicted electromagnetic emitter by fitting a Fixed Sigma Gaussian Mixture Model (FSGMM) to the histogram; and instructions for reporting the rank estimation associated with the at least one predicted electromagnetic emitter.
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