System and method for determining a direction of an emitter relative to a platform

A method for determining a direction of an emitter relative to a platform being distant from said emitter comprising:

• obtaining, by a processing circuitry:
• (i) a machine learning model;
• capable of receiving:
• (a) one or more given PDWs associated with a given emitter and (b) one or more given parameters associated with a given platform, and determining the direction of said given emitter relative to said given platform, wherein said model is trained using a training dataset containing information relating to one or more emitters having known locations and directions relative to said platform, and wherein said machine learning model is a specific platform model, specific to said platform;
• (ii) one or more PDWs of said emitter, provided by analysis of at least one received signal, emitted by said emitter, wherein at least one of said PDWs is associated with one or more signal intensities of said least one received signal;
• and,
• (iii) one or more parameters associated with a physical state of said platform, the one or more parameters comprising at least one of a pitch of said platform or a roll of said platform;
• and,
• determining, by said processing circuitry, utilizing said obtained machine learning model, said obtained one or more PDWs, and said obtained one or more parameters associated with the physical state of said platform, a refined direction of said emitter relative to said platform, wherein said refined direction is determined based at least in part on said signal intensities.

A non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code, executable by at least one processor to perform a method for determining a direction of an emitter relative to a platform being distant from said emitter comprising:

• obtaining, by a processing circuitry:
• (i) a machine learning model, capable of receiving:
• (a) one or more given PDWs associated with a given emitter and (b) one or more given parameters associated with a given platform, and determining the direction of said given emitter relative to said given platform, wherein said model is trained using a training dataset containing information relating to one or more emitters having known locations and directions relative to said platform, and wherein said machine learning model is a specific platform model, specific to said platform;
• ii) one or more PDWs of said emitter, provided by analysis of at least one received signal, emitted by said emitter, wherein at least one of said PDWs is associated with one or more signal intensities of said least one received signal;
• and,
• (iii) one or more parameters associated with a physical state of said platform, the one or more parameters comprising at least one of a pitch of said platform or a roll of said platform;
• and,
• determining, by said processing circuitry, utilizing said obtained machine learning model, said obtained one or more PDWs, and said obtained one or more parameters associated with the physical state of said platform, a refined direction of said emitter relative to said platform, wherein said refined direction is determined based at least in part on said signal intensities.