In this paper, a novel particle filter tracker is presented for target tracking using collocated radar and acoustic sensors. Real-time tracking of the target’s position and velocity in Cartesian coordi-nates is performed using batches of range and direction-of-arrival estimates. For robustness, the filter aligns the radar and acoustic data streams to account for acoustic propagation delays. The filter proposal function uses a Gaussian approximation to the full track-ing posterior for improved efficiency. To incorporate the aligned acoustic data into the tracker, a two-stage weighting strategy is pro-posed. Computer simulations are provided to demonstrate the ef-fectiveness of the algorithm. 1
This thesis presents a method for improving passive acoustic tracking. A large fam-ily of acoustic t...
The estimation filter in radar systems must track targets ' position within low tracking error....
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
In this paper, a novel particle filter tracker is presented for target tracking using collocated rad...
Abstract — In this paper, a multi-target tracking system for collocated video and acoustic sensors i...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Abstract—In this paper, we propose a particle filter acoustic direction-of-arrival (DOA) tracker to ...
In this paper, we investigate the multisensor target tracking problem in environments where the sign...
Tracking a fast-moving sound source in the air in an acoustic way has rarely been seen in the curren...
We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberan...
We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberan...
In this paper, we have addressed the problem of multiple target tracking in Track-Before-Detect (TBD...
This thesis contributes new algorithms and implementations for particle filter-based target tracking...
This thesis presents a method for improving passive acoustic tracking. A large fam-ily of acoustic t...
The estimation filter in radar systems must track targets ' position within low tracking error....
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
In this paper, a novel particle filter tracker is presented for target tracking using collocated rad...
Abstract — In this paper, a multi-target tracking system for collocated video and acoustic sensors i...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Signal propagation delays are hardly a problem for target tracking with standard sensors such as rad...
Abstract—In this paper, we propose a particle filter acoustic direction-of-arrival (DOA) tracker to ...
In this paper, we investigate the multisensor target tracking problem in environments where the sign...
Tracking a fast-moving sound source in the air in an acoustic way has rarely been seen in the curren...
We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberan...
We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberan...
In this paper, we have addressed the problem of multiple target tracking in Track-Before-Detect (TBD...
This thesis contributes new algorithms and implementations for particle filter-based target tracking...
This thesis presents a method for improving passive acoustic tracking. A large fam-ily of acoustic t...
The estimation filter in radar systems must track targets ' position within low tracking error....
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...