UAV Electro Optic Tracking System

UAV Electro Optic Tracking System

The uav electro optical tracking system is a sophisticated military-grade drone detection and tracker that allows commanders to identify, engage and neutralize targets with greater accuracy than previous-generation systems. It features thermal imagers, high-resolution video cameras, laser illuminators and laser rangefinders. The system can also be integrated with radar and other air-defense surveillance systems.

The system can detect drones as small as four feet long and flying at speeds up to 300 kmph from a distance of 3 km, DRDO sources said. It is expected to be available for use by the Indian army and air-defense forces, including the IAF, in 2021. It will be installed on the UAVs of DRDO’s IRDE and IAF’s AFRL, which are both being developed in-house by the agency.

Using the data from multiple receiver array antennas, time difference of arrival (TDOA) methods determine the location of the transmitter by performing cross-correlation of signals at different measurement points. This can help estimate the direction of the signal source from the fading channel conditions observed at each measurement point. The TDOA method requires high-quality time synchronization, and performance degrades as the inverse of the signal bandwidth is increased.

There are several challenges to be overcome for uav electro optical tracking system to work well, including angular displacement error and multipath effects. These issues can cause the gimbaled EOS to lose tracking of its target, and result in an incorrect 3-D measurement of its position. To reduce this problem, researchers have proposed a number of algorithms to track a target and to provide a real-time 3-D measurement of its position. Among these, Sequential Quadratic Programming (SQP) is one of the most effective.

In addition to image processing, uav electro optical tracking system should have an adequate signal-to-noise ratio to reduce interference and maintain clear images in the presence of multipath signals. A variety of techniques are used to improve signal-to-noise ratio, such as transmit diversity, digital beamforming and spatial multiplexing. However, there is still a need for more research to improve the performance of uav electro optical tracking system.

A Vivaldi antenna is a wideband, low-profile, wideband and multi-beam design that has received increasing attention for UAV tracking applications because of its simplicity, performance, and cost. It has good directivity, beamwidth, and gain characteristics in the RF band. In addition, it is compatible with mmwave systems and can be easily modified to operate in those bands. Nevertheless, the Vivaldi antenna can be subject to a number of limitations that need to be addressed in order for it to perform reliably, including its radiation pattern and frequency response. Its radiation pattern and frequency response can be modeled with an analytical model. The results from this analysis can be used to optimize the performance of the Vivaldi antenna. Moreover, these models can be used to estimate the optimal design parameters of the antenna. Furthermore, machine learning can be used to reduce the error in the angular beam alignment and bean weight prediction.

Tags:electro optic system