Clutter Identification based on sparse recovery with dynamically changing dictionary sizes for cognitive radar
Published: May 13, 2019
Abstract
Existing radar algorithms assume stationary statistical characteristics for environment/clutter. In practical scenarios, the statistical characteristics of the clutter can dynamically change depending on where the radar is operating. Non-stationarity in the statistical characteristics of the clutter may negatively affect the radar performance. Cognitive radar that can sense the changes in the clutter statistics, learn the new statistical...
Paper Details
Title
Clutter Identification based on sparse recovery with dynamically changing dictionary sizes for cognitive radar
Published Date
May 13, 2019
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