Referenced Items are not available for this document.
This paper presents a Bayesian algorithm for joint detection and tracking in a multitarget setting. Raw measurements are processed using the track-before-detect (TBD) framework. We first establish a Bayesian recursion, which propagates a probability of target existence along with a target state probability density per delay/Doppler bin. In order to handle the nonlinearity of the observation model obtained for orthogonal frequency division multiplexing (OFDM)-based passive radar, a suitable Gaussian mixture implementation is proposed.
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:48
,
Issue:
3
)
Date of Publication: JULY 2012
- Page(s):
- 2458 - 2480
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 12852842
- Digital Object Identifier :
- 10.1109/TAES.2012.6237603
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 11 July 2012
- Issue Date :
- JULY 2012
- Sponsored by :
- Aerospace & Electronic Systems Society
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