US 10,871,551 B2Granted

Least squares fit classifier for improved sensor performance

OwnerHerbert U Fluhlerinventor

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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.

Claims5

Dependent claims

A method for processing Doppler radar data to improve differentiation between a true signal and noise, said method comprising:

accepting received timed data into a Doppler filter;
fitting the timed data to at least one of:
a model of a feature characteristic of a signal to produce a first output comprising a measure of goodness of fit to the feature characteristic of a signal and fitting the timed data to a model of a feature characteristic of noise to produce a second output comprising a measure of goodness of fit to the feature characteristic of noise;
entering the at least one of the first and second outputs as a measurement feature into a classifier algorithm;
and based on predetermined or dynamically computed classification parameters, producing an output classifying the timed data as comprising only noise with a predetermined level of confidence and/or as comprising noise and a signal with a predetermined level of confidence wherein the timed data comprises In Phase and Quadrature (I&Q) data and said method comprises mapping In Phase and Quadrature (I&Q) vectors, determining a helix spin rate for the mapped I&Q vectors, and comparing the determined helix spin rate to an expected helix spin rate for a true signal associated with the Doppler filter.

2 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/396,678Filed 1 Jan 2017 · us provisional application
Priority: 31 Dec 2015
Published: US 2017/0192088 A16 Jul 2017
Granted: 22 Dec 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification3 codes

G01S 7/2922
Based on data belonging to one radar period: by using a controlled threshold
G01S 7/2886
Coherent receivers: using I/Q processing
G01S
Radio direction-finding

Family

Application62/387,671Us provisional application · filed 31 Dec 2015
US 2017/0192088 A1Pre-grant publication · published 6 Jul 2017
US 10,871,551 B2This patent

From the US filing history. Foreign family members aren’t listed.

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