Name
Title | ||
|---|---|---|
Message Passing Based Robust Target Localization In Distributed Mimo Radars In The Presence Of Outliers |
Abstract | ||
|---|---|---|
In this letter, a novel factor graph approach to target localization in distributed MIMO radars is proposed. To achieve robust localization in the presence of outliers, target localization can be formulated as a least absolute deviation (LAD) problem, which, however, is difficult to solve. We then reformulate the LAD problem as a reweighted least square (LS) one, which is converted to a product of some functions, enabling the use of factor graph techniques. Based on a factor graph representation, a highly efficient message passing algorithm is developed, where the target location is estimated in an iterative way. Comparisons with state-of-the-art methods show that the proposed method is superior in terms of computational complexity, robustness and accuracy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2020.3042456 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
Manganese, Message passing, MIMO radar, Signal processing algorithms, Receivers, Cost function, Time measurement, Distributed MIMO radars, message passing, outliers, target localization | Journal | 27 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zehua Yu | 1 | 0 | 1.35 |
| jun li | 2 | 173 | 16.42 |
| qinghua guo | 3 | 549 | 68.83 |
| Ting Sun | 4 | 39 | 12.08 |