AI based adaptive noise cancellation for sonars of Autonomous Underwater Vehicles(AUVs) and ship borne sonar

Efficacy of passive and active sonars are dependent on their ability to cancel out ambient noise, self-noise and radiated noise of the platform. Further, the various types of noises are constantly changing due to various environmental factors such as water temperature, salinity, weather conditions, sea bottom characteristics depth, traffic density in the area etc. These noises cause an inherent degradation in the sensor capability. Hence any noise cancellation system for a ships sonar and AUV should be able to cancel out noise in varying conditions in an adaptive manner to detect the signal of interest.