A method for detecting RGPO/VGPO jamming

Date

2004-04-30

Author

Kural, F
Ozkanzanc, Y

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

480
views

0
downloads

This paper proposes a general approach to detect the presence of deceptive counter measures such as RGPO or VGPO. The method which is based on Kalman filter lays its foundation on drift between Doppler measurement and the Doppler information obtained from the range measurement of a target in track. By measuring this drift by Mahalonobis distance metric and comparing it with a predefined threshold; detection is performed. The performance of the proposed approach is illustrated through a simulation.

Subject Keywords

Jamming, Kalman filters, Counting circuits, Radar tracking, Doppler radar, Doppler measurements, Target tracking, Performance evaluation, Sonar measurements

URI

https://hdl.handle.net/11511/65784

DOI

https://doi.org/10.1109/siu.2004.1338303

Collections

Unclassified, Conference / Seminar

Suggestions

OpenMETU
Core

Multi-target tracking using passive doppler measurements Guldogan, Mehmet B.; Orguner, Umut; Gustafsson, Fredrik (2013-04-26) In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using Doppler-only measurements in a passive sensor network. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.
Extended Target Tracking using a Gaussian-Mixture PHD Filter Granstrom, Karl; Lundquist, Christian; Orguner, Umut (2012-10-01) This paper presents a Gaussian-mixture (GM) implementation of the probability hypothesis density (PHD) filter for tracking extended targets. The exact filter requires processing of all possible measurement set partitions, which is generally infeasible to implement. A method is proposed for limiting the number of considered partitions and possible alternatives are discussed. The implementation is used on simulated data and in experiments with real laser data, and the advantage of the filter is illustrated. S...
A Radar Target Recognition Method with MUSIC Algorithm: Application to Aircraft Targets with Measured Scattered Data Secmen, M.; Turhan-Sayan, G.; Sayan, Gönül (2008-05-30) This paper demonstrates the usefulness of an ultra wideband target recognition method in the case of realistic and complicated target geometries at resonance region. The method utilizes the MUSIC algorithm to extract the natural resonance-related scattering features of targets. The resulting features give the power distribution maps of targets. These maps are called as fused MUSIC spectrum matrices and used as the main target recognition feature in the method. The fusion process is needed to reduce the aspe...
Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements Guldogan, Mehmet B.; Orguner, Umut; Gustafsson, Fredrik (2012-05-17) In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using a passive sensor network. Non-cooperative transmissions from illuminators of opportunity like GSM base stations, FM radio transmitters or digital broadcasters are exploited by non-directional separately located Doppler measuring sensors. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target s...
A Variational Measurement Update for Extended Target Tracking With Random Matrices Orguner, Umut (2012-07-01) This correspondence proposes a new measurement update for extended target tracking under measurement noise when the target extent is modeled by random matrices. Compared to the previous measurement update developed by Feldmann et al., this work follows a more rigorous path to derive an approximate measurement update using the analytical techniques of variational Bayesian inference. The resulting measurement update, though computationally more expensive, is shown via simulations to be better than the earlier...

Citation Formats

F. Kural and Y. Ozkanzanc, “A method for detecting RGPO/VGPO jamming,” 2004, p. 237, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65784.