A Space Time Autoaggressive Method Based on Parameters Estimation for Airborne MIMO Radar

Abstract:

The clutter distribution of an airborne multiple input and multiple output (MIMO) radar in non-homogeneous environment varies with ranges and samples in different range gates are not independent identically distributed vectors, so that the statistical space time adaptive processing (STAP) methods degrade heavily. A clutter suppression method for airborne MIMO radar in non-homogeneous environments is studied in this paper. Firstly, Space time autoaggressive (STAR) method is introduced to airborne MIMO radar for clutter suppression and then an AR model parameters estimation method for STAR is proposed to decrease the complexity of traditional method. Simulation results show the proposed method can estimate parameters exactly and rapidly with only few training samples and be fit for clutter suppression in non-homogeneous environments.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4496-4500
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4496
• Online since: May 2014
• Authors: Xing Hui Chen*, Shi Qiao Gao
• Keywords: Clutter Suppression, Multiple Input Multiple Output Radar, Space Time Adaptive Processing, Space Time Autoaggresstive

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