A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems
In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar s...
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| Veröffentlicht in: | IEEE transactions on signal processing Jg. 61; H. 10; S. 2608 - 2619 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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New York, NY
IEEE
01.05.2013
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1053-587X, 1941-0476 |
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| Abstract | In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar systems), and a track-before-detect (TBD) processor, which jointly elaborates observations from multiple scans (or frames) and confirms reliable plots. A computationally efficient dynamic programming algorithm for the TBD processor is derived, which does not require a discretization of the state space and operates directly on the input plot-lists. Finally, a simple algorithm to solve possible data association problems arising at the track-formation step is given, and a thorough complexity and performance analysis is provided, showing that large detection gains with respect to the standard radar processing are achievable with negligible complexity increase. |
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| AbstractList | In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar systems), and a track-before-detect (TBD) processor, which jointly elaborates observations from multiple scans (or frames) and confirms reliable plots. A computationally efficient dynamic programming algorithm for the TBD processor is derived, which does not require a discretization of the state space and operates directly on the input plot-lists. Finally, a simple algorithm to solve possible data association problems arising at the track-formation step is given, and a thorough complexity and performance analysis is provided, showing that large detection gains with respect to the standard radar processing are achievable with negligible complexity increase. |
| Author | Grossi, Emanuele Lops, Marco Venturino, Luca |
| Author_xml | – sequence: 1 givenname: Emanuele surname: Grossi fullname: Grossi, Emanuele email: e.grossi@unicas.it organization: DIEI, Università degli Studi di Cassino e del Lazio Meridionale, Italy – sequence: 2 givenname: Marco surname: Lops fullname: Lops, Marco email: lops@unicas.it organization: DIEI, Università degli Studi di Cassino e del Lazio Meridionale, Italy – sequence: 3 givenname: Luca surname: Venturino fullname: Venturino, Luca email: l.venturino@unicas.it organization: DIEI, Università degli Studi di Cassino e del Lazio Meridionale, Italy |
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| SubjectTerms | Alarms Algorithms Applied sciences Complexity Detection, estimation, filtering, equalization, prediction Detector Dynamic programming Dynamical systems Dynamics Exact sciences and technology Heuristic algorithms Information theory Information, signal and communications theory Microprocessors multi-frame detection (MFD) plot extractor Radar Radar detection Radar systems Radar tracking Signal and communications theory Signal, noise Studies Target tracking Telecommunications and information theory track-before-detect (TBD) tracking Trajectory |
| Title | A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems |
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