66 citations · 66 across the 5 of their papers we have counts for
7 papers
Harmonic Mean Density Fusion in Distributed Tracking: Performance and Comparison
Nikhil Sharma, Ratnasingham Tharmarasa, Thiagalingam Kirubarajan
A distributed sensor fusion architecture is preferred in a real target-tracking scenario as compared to a centralized scheme since it provides many practical advantages in terms of…
On Pooling-Based Track Fusion Strategies : Harmonic Mean Density
Nikhil Sharma, Shovan Bhaumik, Ratnasingham Tharmarasa +1
In a distributed sensor fusion architecture, using standard Kalman filter (naive fusion) can lead to degraded results as track correlations are ignored and conservative fusion stra…
Trigonometric Moments of a Generalized von Mises Distribution in 2-D Range-Only Tracking
Nikhil Sharma, Shovan Bhaumik, Ratnasingham Tharmarasa +1
A 2D range-only tracking scenario is non-trivial due to two main reasons. First, when the states to be estimated are in Cartesian coordinates, the uncertainty region is multi-modal…
Nonparametric Spatio-Temporal Joint Probabilistic Data Association Coupled Filter and Interfering Extended Target Tracking
Behzad Akbari, Haibin Zhu, Ya-Jun Pan +1
Extended target tracking estimates the centroid and shape of the target in space and time. In various situations where extended target tracking is applicable, the presence of multi…
Object Recognition and Identification Using ESM Data
E. Taghavi, D. Song, R. Tharmarasa +3
Recognition and identification of unknown targets is a crucial task in surveillance and security systems. Electronic Support Measures (ESM) are one of the most effective sensors fo…
Multisensor--Multitarget Bearing--Only Sensor Registration
Ehsan Taghavi, R. Tharmarasa, T. Kirubarajan +1
Bearing--only estimation is one of the fundamental and challenging problems in target tracking. As in the case of radar tracking, the presence of offset or position biases can exac…
A Practical Bias Estimation Algorithm for Multisensor--Multitarget Tracking
Ehsan Taghavi, R. Tharmarasa, T. Kirubarajan +2
Bias estimation or sensor registration is an essential step in ensuring the accuracy of global tracks in multisensor-multitarget tracking. Most previously proposed algorithms for b…