Multi-Task Learning STAP via Spatial Smoothness and Group Sparsity Regularizations

Multi-Task Learning STAP via Spatial Smoothness and Group Sparsity Regularizations

In practical applications, limited independent and identically distributed training snapshots brings a serious challenge in space-time adaptive processing (STAP), especially in the nonhomogeneous environments. Motivated by the significant spatial smoothness and sparsity commonality of weight vectors...

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Bibliographic Details
Main Authors: Lilong Qin, Bo Tang, Hai Wang, Zhongrui Huang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
ADMM
convex optimization
group-sparsity
multi-task learning
STAP
Online Access:https://ieeexplore.ieee.org/document/9727173/

Internet

https://ieeexplore.ieee.org/document/9727173/

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