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Annabattula, Jawahar
- Advanced Submarine Integrated Weapon Control System
Abstract Views :192 |
PDF Views:0
Authors
Jawahar Annabattula
1,
S. Koteswara Rao
1,
A. Sampath Dakshina Murthy
2,
K. S. Srikanth
1,
Rudra Pratap Das
2
Affiliations
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 8, No 35 (2015), Pagination:Abstract
Background/Objectives: In underwater, a single submarine processes noisy sonar bearings from a radiating target (ship/submarine/torpedo) in passive listening mode. Methods/Statistical Analysis: The target is assumed to be at constant velocity or maneuvering in its course/speed/course and speed. An adaptive Kalman filter estimates target motion parameters. Findings: Data fusion and data association in multi target and multi sensor scenario are carried out, using Chi-squared innovation process. Applications/Improvements: Finally improved torpedo intercept guidance algorithm with homing capabilities is developed for attacking the target.Keywords
Data Fusion, Doppler, Fire Control System, Towed Array- Multi-Sensor Submarine Surveillance System using MGBEKF
Abstract Views :175 |
PDF Views:0
Authors
Jawahar Annabattula
1,
S. Koteswara Rao
1,
A. Sampath Dakshina Murthy
2,
K. S. Srikanth
1,
Rudra Pratap Das
2
Affiliations
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 8, No 35 (2015), Pagination:Abstract
Background/Objectives: The modern submarines use mutlitple sensors for tracking multiple targets in sea environment. In general, multiple sensor data can be handled in two ways: measurement fusion and state vector fusion. Methods/ Statistical Analysis: Measurement fusion is not practical for implementation due to various reasons and hence state vector fusion is proposed. Target trackingusing Modified Gain Bearings only Extended Kalman Filter in generic two-dimensional platform is carried out in each channel. Findings: In this approach, a state vector and its corresponding covariance matrix are extracted from the sensor measurements by an estimator equipped on each sensor. The output of each channel is transported via a data link in to order to be reach the fusion center. Applications/Improvements: A composite target state vector is obtained by performing track-to-track correlation and fusion at the fusion center.Monte-Carlo simulation is carried outand the results are presented for a typical scenario.Keywords
Estimation, Fusion, Kalman Filter, Simulation, Tracking- Underwater Passive Target Tracking in Constrained Environment
Abstract Views :172 |
PDF Views:0
Authors
Jawahar Annabattula
1,
S. Koteswara Rao
1,
A. Sampath Dakshina Murthy
2,
K. S. Srikanth
1,
Rudra Pratap Das
2
Affiliations
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, IN
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN