Browsing by Author "Lewis, M."

Now showing 1 - 7 of 7
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    Adaptive spatio-temporal CFAR and multiple-hypothesis tracking system
    (2009-03-12T16:36:30Z) Hughes, Evan J.; Lewis, M.
    This paper describes a self organising spatio-temporal radar CFAR system that uses multiple intelligent software agents to detect and adapt the processing to features in the environment. By combining both temporal and spatial data gathering sufficient samples can be collected to allow both the first and second order moments of the clutter distribution to be approximated for each cell. By gathering higher order statistics to a useful accuracy, more stable thresholds may be produced.
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    Advanced detection and tracking in medium PRF radar
    (2009-03-12T15:51:08Z) Hughes, Evan J.; Lewis, M.
    This paper describes an improved method of target tracking particularly applicable to littoral environments where a wide range of clutter characteristics are present. A light weight multiple hypothesis tracker based on multiple intelligent software agents is presented.
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    Evaluation of a Second order adaptive CFAR in the littoral environment
    (2009-03-12T15:29:44Z) Hughes, Evan J.; Lewis, M.
    This paper examines seven common CFAR techniques and describes a spatially adaptive CFAR that captures the best performance in respect of PD and Pfa in the presence of long tail and target corrupted clutter.
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    Improved detection and ambiguity resolution of low observable targets in MPRF radar
    (2009-03-12T15:44:19Z) Hughes, Evan J.; Lewis, M.
    This paper presents the results of an investigation into the use of a Multiple Intelligent Software Agent technique as a means of eliminating ghost targets in a MPRF radar system especially when many real targets are present.
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    Improved detection and ambiguity resolution of multiple targets in MPRF Radar
    (2009-07-14T15:15:26Z) Hughes, Evan J.; Lewis, M.
    This paper presents the results of an investigation into the mechanisms that generate ghost targets when many real targets are present on the same azimuth in a MPRF radar system. A new PRI selection strategy is proposed as a method to eliminate these ghost targets. The use of evolutionary algorithms as a means of optimising the PRI selection is discussed.
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    Improved target detection and tracking in littoral environments using a self-organising spatio-temporal CFAR
    (2009-07-14T14:58:07Z) Hughes, Evan J.; Lewis, M.
    This paper describes a self organising spatio-temporal radar CFAR system that uses multiple intelligent software agents to detect and adapt the processing to features in the environment. By combining both temporal and spatial data gathering sufficient samples can be collected to allow both the first and second order moments of the clutter distribution to be approximated for each cell. By gathering higher order statistics to a useful accuracy, more stable thresholds may be produced
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    An Intelligent agent based Track-Before-Detect system applied to a range and velocity ambiguous radar
    (2009-03-12T15:25:20Z) Hughes, Evan J.; Lewis, M.
    The problems associated with detecting low observable targets using Track-before-Detect systems based on Hough transform or Dynamic Programming techniques are reviewed. An alternative self-adaptive spatio-temporal CFAR system and a multiple hypothesis tracker based on Multiple Intelligent Software Agents and its adaptation to range and velocity ambiguous radar is described.