Processing

Please wait...

Settings

Settings

Goto Application

1. WO2020141548 - RADAR SIGNAL BASED MACHINE LEARNING

Publication Number WO/2020/141548
Publication Date 09.07.2020
International Application No. PCT/IN2019/050968
International Filing Date 31.12.2019
IPC
G01S 13/89 2006.01
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
13Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
88Radar or analogous systems, specially adapted for specific applications
89for mapping or imaging
G01S 13/93 2020.01
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
13Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
88Radar or analogous systems, specially adapted for specific applications
93for anti-collision purposes
CPC
G01S 13/931
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
13Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
88Radar or analogous systems specially adapted for specific applications
93for anti-collision purposes
931of land vehicles
G01S 7/417
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
7Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
02of systems according to group G01S13/00
41using analysis of echo signal for target characterisation; Target signature; Target cross-section
417involving the use of neural networks
Applicants
  • ATAI LABS PVT LTD. [IN]/[IN]
Inventors
  • KHAIRMODE, Vijay Shankar
  • BALASUBRAMANIAN, Aanandh Suttamalli
  • BOMMENA, Vidya Manoher
  • GUDE, Gangadhar
  • ARUMILLI, Kishor Bulli
Agents
  • LAKSHMIKUMARAN, Malathi
  • PHILLIPS, Prashant
  • RAE, Konpal
  • PANDEYA, Jaya
  • SRINIVASAN, T.
Priority Data
20184105010431.12.2018IN
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) RADAR SIGNAL BASED MACHINE LEARNING
(FR) APPRENTISSAGE MACHINE BASÉ SUR UN SIGNAL RADAR
Abstract
(EN)
Techniques of object classification are described. In operation, a radar signal reflected by an object within range of the radar detection system is received and at least one set of frequency components corresponding to the object are extracted. At least one set of unit energy samples corresponding to the object is then generated based on the at least one set of frequency components followed by computation of a range compensated energy (RCE) corresponding to the object based on the at least one set of frequency components, where the RCE is indicative of range normalized energy corresponding to the object. A feature vector corresponding to the object is then generated based at least on the at least one set of unit energy samples and the RCE, wherein the feature vector is representative of characteristics of the object.
(FR)
L'invention concerne des techniques de classification d'objets. En fonctionnement, un signal radar réfléchi par un objet à l'intérieur de la portée du système de détection radar est reçu et au moins un ensemble de composantes fréquentielles correspondant à l'objet sont extraites. Au moins un ensemble d'échantillons d'unités d'énergie correspondant à l'objet est ensuite généré sur la base dudit ensemble de composantes fréquentielles suivi par le calcul d'une énergie à compensation de plage (RCE) correspondant à l'objet sur la base dudit au moins un ensemble de composantes fréquentielles, la RCE étant indicative d'une énergie à normalisation de plage correspondant à l'objet. Un vecteur de caractéristiques correspondant à l'objet est ensuite généré sur la base dudit au moins un ensemble d'échantillons d'unités d'énergie et de la RCE, le vecteur de caractéristiques étant représentatif de caractéristiques de l'objet.
Latest bibliographic data on file with the International Bureau