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Annabattula, Jawahar
- Some Insightful Aspects in Underwater Bearings-Only Tracking
Authors
1 Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
2 Naval Technological Research Laboratories, Visakhapatnam, Andhra Pradesh, IN
Source
Fuzzy Systems, Vol 10, No 5 (2018), Pagination: 109-116Abstract
In bearings-only under water target tracking, observer has to carry out one or more maneuvers to estimate target motion parameters. In general, two dimensional bearings-only tracking is used for underwater applications. The basic assumptions are that the submarine motion is unrestricted and the target (another submarine or ship) moves at constant velocity. The target and observer are assumed to be in the same horizontal plane. In passive target tracking, a single observer monitors a sequence of target bearing measurements, which are assumed to be available at equi-spaced discrete time intervals. The bearing measurements are corrupted with white Gaussian noise and this noise is assumed to be less when compared to the actual value of the bearing. The observer can search for the target within some specified look angle (and not total 360 deg) to avoid its own self noise zone hence traditional S-maneuver is not preferable always. In this research work, a procedure is tried out to understand the scenario online and recommend the maneuver accordingly.
Keywords
Sonar, Estimation Theory, Target Tracking, Observer, Maneuver.
- Characterisation Studies of Underwater Target Tracking
Authors
1 Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
2 Naval Research and Technological Laboratories, Visakhapatnam, Andhra Pradesh, IN
Source
Fuzzy Systems, Vol 10, No 5 (2018), Pagination: 117-125Abstract
Passive target tracking using bearings-only measurements is used to track underwater targets. Unscented Kalman Filter (UKF) is proved to be efficient non-linear estimator to estimate the target motion parameters. An effort is made to find out the Range Uncertainty Ellipse Zone (RUEZ) of the target using UKF covariance matrix in Monte-Carlo simulation. Underwater warfare today constitutes one of the greatest threats to the freedom of the seas. In under water, a single submarine processes noisy sonar bearings from a radiating target (ship/submarine/torpedo) in passive listening mode. The target is assumed to be at constant velocity. Bearing measurements by passive sensors are inaccurate. The observer processes these measurements and finds out Target Motion Parameters (TMP) - viz., range, course, bearing and speed of the target. This process is called Target Motion Analysis (TMA). Here the measurement is non-linear, making the whole process non-linear. Once the target’s RUEZ becomes less than that of homing zone of the weapon to be fired on to target, weapon can be released to destroy the target.