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A method to identify uncorrelated detections across scan to scan using multilayer adaptive filtering for coastal track while scan surveillance radar
A method to identify uncorrelated detections across scan to scan using multilayer adaptive filtering for coastal track while scan surveillance radar
The present invention illustrates a method, which uses a scan to scan layer adaptive filter to distinguish detections from sea clutter and detections from sea surface targets like ships and small boats. The method utilizes the uncorrelated nature of sea clutter from scan to scan while the target echoes will have a correlated nature. The scan to scan correlation is computed statistically by analyzing its presence in a current cell. The dimension of current cell is defined by azimuth quanta x range quanta and sum table is calculated. Each measurement is attached with a value for further decision making by the tracking application. The features unique to the present invention include the adaptive nature of the method to identify the clutter depending on the sea state. By removing the measurements identified as clutter, helps the tracker to give higher throughput by saving the processing time on unwanted clutter measurements. Figure 9
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