Name
Abstract | ||
|---|---|---|
We consider the problem of tracking a maneuvering target in urban terrain with high clutter. Although multipath has been previously exploited to improve target tracking in complex urban environments, when the clutter is high, multipath returns can suffer from large losses in signal-to-noise ratio (SNR), reducing probability of detection (PD). Maneuvering, a common motion in urban terrain, can also affect PD as different multipaths occur at different times. We propose a waveform-agile probabilistic data association target tracker that allows for multiple interactive motion models. The new adaptive tracker computes the different PD values for the validated measurements of line-of-sight (LOS) and non-LOS (NLOS) returns from the target, while selecting the transmit waveform that minimizes the mean-squared error (MSE) at each time step. The proposed approach is demonstrated using simulations of a realistic high clutter urban environment. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICASSP.2011.5947139 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
signal to noise ratio,mean square error,clutter,computer model,covariance matrix,probability of detection,multipath propagation,radar tracking,covariance matrix adaptation,computational modeling | Multipath propagation,Non-line-of-sight propagation,Computer vision,Radar tracker,Clutter,Computer science,Waveform,Artificial intelligence,Covariance matrix,Probabilistic logic,Statistical power | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4577-0537-3 | 978-1-4577-0537-3 | 2 |
PageRank | References | Authors |
0.38 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bhavana Chakraborty | 1 | 24 | 3.06 |
| Jun Jason Zhang | 2 | 122 | 18.78 |
| A. Papandreou-Suppappola | 3 | 257 | 32.65 |
| Darryl Morrell | 4 | 159 | 17.45 |