Adaptive Dimensionality Reduction Clutter Suppression Method and System for Multi-Channel Radar on High-Speed ​​Platforms

Abstract

This invention provides an adaptive dimensionality reduction clutter suppression method and system for multi-channel radar on a high-speed platform. The method includes: performing spatial dimensionality reduction processing on the original spatiotemporal two-dimensional echo data; transforming it to the beam-pulse domain; performing sub-pulse smoothing processing and quantization on the beam-pulse domain data to obtain multiple sets of sub-aperture data; estimating the covariance matrix of clutter plus noise based on the multiple sets of sub-aperture data; calculating the clutter suppression weight vector for each set of sub-aperture data according to the covariance matrix; performing clutter suppression on the set of sub-aperture data to obtain the clutter suppression result; and coherently accumulating the clutter suppression results of all sets to obtain the final clutter suppression result. This invention achieves better clutter suppression performance with lower computational complexity through beam-sub-pulse smoothing accumulation technology. Furthermore, this invention not only requires fewer training samples but can also expand the training samples to obtain an accurate clutter plus noise covariance matrix, making it suitable for situations with few training samples.

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