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20142025
most citedA Geometric Approach to Covariance Matrix Estimation and its Applications to Radar Problems

123 citations · 187 across the 7 of their papers we have counts for

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Showing 2020Show all

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eess.SP2020

A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties

Sudan Han, Luca Pallotta, Xiaotao Huang +2

This paper considers the design of tunable decision schemes capable of rejecting with high probability mismatched signals embedded in Gaussian interference with unknown covariance…