US 2024/0402298 A1 · METHOD AND SYSTEM FOR LOW-PROBABILITY-OF-INTERCEPT RADAR SIGNAL WAVEFORM RECOGNITION

Abstract

A method for recognizing a low-probability-of-interception (LPI) radar signal waveform includes: obtaining, by a radar signal receiver, an LPI radar signal s(t), s(t) varying with time t; extracting, by a radar signal processor, an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t); combining, by the radar signal processor, the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature; and applying, by the radar signal processor, a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.

Claims20

Dependent claims

A method for recognizing a low-probability-of-interception (LPI) radar signal waveform, comprising:

obtaining, by a radar signal receiver, an LPI radar signal s(t), s(t) varying with time t;
extracting, by a radar signal processor, an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t);
combining, by the radar signal processor, the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature;
and
applying, by the radar signal processor, a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.

2 more elements

A system for recognizing a low-probability-of-interception (LPI) radar signal waveform, comprising:

a radar signal receiver for obtaining an LPI radar signal s(t), s(t) varying with time t;
a memory storing computer program instructions;
and
a radar signal processor coupled to the memory and, when executing the computer program instructions, configured to perform:
extracting an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t);
combining the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature;
and
applying a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application

17/382,931Filed 22 Jul 2021

Priority

22 Jul 2020

Published

5 Dec 2024

Term ends

Not estimatedThe source records don’t support an estimate.

Classification8 codes

G01S 7/417
Using analysis of echo signal for target characterisation; Target signature; Target cross-section: involving the use of neural networks
G01S 7/021
Of systems according to group G01S13/00: auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
G01S 7/4021
Of parts of a radar system: of receivers
G06N 3/02
Computing arrangements based on biological models: neural networks

Method and system for low-probability-of-intercept radar signal waveform recognition

Life of this patent

Method and system for low-probability-of-intercept radar signal waveform recognition

Life of this patent

Abstract

Claims20