Least squares fit classifier for improved sensor performance
US10871551B2 · kind B2 · utility
Inventor
Key dates
| Filing date | Jan 1, 2017 |
| Grant date | Dec 22, 2020 |
| Priority date | — |
| Expiry date | Dec 16, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S7/2886
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An improvement to sensor detection performance is described through use of novel least squares based (or other) sensor measurements fitting, which can significantly improve or increase the sensor Probability of Detection (Pd) while simultaneously improving or decreasing the sensor Probability of False Alarm (Pfa). Instead of just thresholding a scalar magnitude as is done in prior art signal detection methods, the new method seeks to classify time (or space, or spatio-temporal) sequenced Signal measurements from time (or space, or spatio-temporal) sequenced Noise measurements through unique features characteristic of each. The proposed method ma be implemented on most modern Radar Signal Data Processors (SDP) and therefore affords a near term, low cost opportunity to both significantly increase detection and tracking performance and/or enable ready adoption of new additional auxiliary missions currently not possible with resource constrained sensors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.