Abstract
Target localization is commonly achieved by a decentralized two-step approach. Recently, studies proposed new promising centralized one-step algorithms. Using an active radar network, we study here the detection and estimation performances of a (one step, Direct Position Determination based) direct target position and velocity determination algorithm. Numerical results show the improvement of the proposed algorithm compared to a classical two-step method. The proposed method is also experimentally verified on real data.
Original language | English |
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Pages (from-to) | 21-35 |
Number of pages | 15 |
Journal | Signal Processing |
Volume | 125 |
DOIs | |
Publication status | Published - Aug 2016 |
Keywords
- Localization
- Matched filter
- Cramér-Rao bound
- Radar processing
- Detection performances
- Swerling models