Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jason Zhang"'
Publikováno v:
IEEE Transactions on Vehicular Technology. 67:9027-9031
It is a promising solution for real-time multitarget tracking to implement particle cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filters in hardware platforms. However, this solution is difficult to materialize since there is a contrad
Publikováno v:
IEEE Transactions on Signal Processing. 64:1270-1279
We consider the problem of tracking a dynamically-varying and unknown number of targets in urban environments. Our proposed approach exploits available multipath measurements and directly incorporates them into a modified probability hypothesis densi
Publikováno v:
IET Radar, Sonar & Navigation. 9:154-163
The authors propose and investigate a methodology for accurate human motion measuring by detecting and tracking human body landmarks using ultra-wideband (UWB) radars. The proposed method can estimate the markers’ positions and velocities in a two-
Publikováno v:
IEEE Transactions on Signal Processing. 61:633-647
We propose new Bayesian algorithms to automatically track current dipole sources of neural activity in real time. We integrate multiple particle filters to track the dynamic parameters of a known number of dipole sources, resulting in reducing the co
Publikováno v:
ACSSC
In this manuscript, we propose and investigate a methodology for detecting and tracking human body landmarks using ultra-wideband (UWB) radars. The detection of multiple human body landmarks (HBLs) is achieved by motion target indication techniques,
Publikováno v:
ICASSP
We investigate and demonstrate the sparsity of electroencephalography (EEG) signals in the spatial domain by incorporating grid spacing in the area of the head enclosing the brain volume. We exploit this spatial sparsity and propose a new approach fo
Publikováno v:
ICASSP
We consider the particle probability hypothesis density filter (PPHDF) for tracking multiple targets in urban terrain. This is a filtering technique based on random finite sets, implemented using the particle filter. Unlike data association methods,
Publikováno v:
2012 International Waveform Diversity & Design Conference (WDD).
We investigate waveform agile selection for dynamic target tracking under low signal-to-noise ratio (SNR) conditions. Our approach combines two techniques aimed at increasing tracking performance. It uses track-before-detect (TBD) that employs unthre
Publikováno v:
ACSCC
A multi-model particle probability hypothesis density filer (PPHDF) algorithm for multiple target tracking in urban terrain is investigated in this paper. The multi-model PPHDF is based on target state-space modeling of urban scenarios, random finite
Autor:
Antonia Papandreou-Suppappola, Muralidhar Rangaswamy, Steven Kay, Ram M. Narayanan, Surendra S. Bhat, Jun Jason Zhang, Shubo Liu, Quan Ding
Publikováno v:
ACSCC
We investigate the design and performance of an integrated waveform-agile (WAS) multi-modal track-before-detect (TBD) sensing system using an experimental platform. The system jointly operates on radio frequency and electro-optical sensors, and it us