Multistage algorithms for extended dwell target detection
Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target samples are coherently integrated. Conventional single-channel radar assumes a linear-phase signal model that is only accurate over a short...
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Published in | 2014 IEEE Radar Conference pp. 0269 - 0274 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2014
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Abstract | Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target samples are coherently integrated. Conventional single-channel radar assumes a linear-phase signal model that is only accurate over a short dwell time for typical target motion. Over an extended dwell, the target signal includes multiple nonlinear phase components, each of whose effects become significant at different times during the dwell. An algorithm is presented that develops a multiphase signal model in multiple stages based on these times. A modification of the proposed approach improves the signal model for the most challenging targets. When used as the detection filter, the multiphase signal model yields near optimal performance over an extended dwell time for a wide range of target parameters. Typical improvement in output signal-to-noise ratio (SNR) for a 500 ms dwell is 12-13 dB over conventional processing. |
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AbstractList | Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target samples are coherently integrated. Conventional single-channel radar assumes a linear-phase signal model that is only accurate over a short dwell time for typical target motion. Over an extended dwell, the target signal includes multiple nonlinear phase components, each of whose effects become significant at different times during the dwell. An algorithm is presented that develops a multiphase signal model in multiple stages based on these times. A modification of the proposed approach improves the signal model for the most challenging targets. When used as the detection filter, the multiphase signal model yields near optimal performance over an extended dwell time for a wide range of target parameters. Typical improvement in output signal-to-noise ratio (SNR) for a 500 ms dwell is 12-13 dB over conventional processing. |
Author | Melvin, William L. Paulus, Audrey S. Williams, Douglas B. |
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Snippet | Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target... |
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SubjectTerms | Algorithm design and analysis Dictionaries Doppler effect Mathematical model Radar Signal to noise ratio Vectors |
Title | Multistage algorithms for extended dwell target detection |
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