SIH26055SoftwareDRDO

Smart Scan strategy for Electronic Warfare

Background

Detection of hostile communication or radar signals starts with search / scan of a wide frequency spectrum which covers relevant emitters. Sensors with typically high sensitivity but with at least an order lower instantaneous bandwidth compared to overall bandwidth of the system are used to maintain surveillance over the entire spectrum. This requires a receiver / receivers to sweep over frequency bands. Hitherto strategies based on pre mission data / prior data (Open loop) are used. Usually the

The Ask

This problem statement focusses on to build Smart Scan Strategy for Electronic Warfare.

Real Struggle

Detection of hostile communication or radar signals starts with search / scan of a wide frequency spectrum which covers relevant emitters Sensors with typically high sensitivity but with at least an order lower instantaneous bandwidth compared to overall bandwidth of the system are used to maintain surveillance over the entire spectrum This requires a receiver / receivers to sweep over frequency bands

Expected Solution

This problem statement focusses on to build Smart Scan Strategy for Electronic Warfare. Interception of signals is a two dimensional search problem since it involves adjusting receiver’s frequency at correct time. This includes building up figures of merit for interception performance such as probability of detection, probability of false alarm, sensitivity, Avg intercept rate, Avg Reward / cost function, percentage of correct predictions and average intercept time error. A system model for the receiver needs to be developed with measurements obtained from a simulated RF environment which has truth information on status of emitters in each band and at each time slot. The frequency spectrum for own receiver consists of many bands. The status of environment for each frequency band at e

This problem statement focusses on to build Smart Scan Strategy for Electronic Warfare
Interception of signals is a two dimensional search problem since it involves adjusting receiver’s frequency at correct time
This includes building up figures of merit for interception performance such as probability of detection, probability of false alarm, sensitivity, Avg intercept rate, Avg Reward / cost function,...
A system model for the receiver needs to be developed with measurements obtained from a simulated RF environment which has truth information on status of emitters in each band and at each time slot
Development of a robust scheduler using machine learning to minimize intercept time and ensure a high interception rate is the primary objective of the strategy
Further, approaches to intercept a periodic scan receiver optimally should be outlined
Algorithms and techniques for the same need to be developed. •