Knowledge‐aided block sparse Bayesian learning STAP for phased‐array MIMO airborne radar-Reference-Cited by-同舟云学术

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Knowledge‐aided block sparse Bayesian learning STAP for phased‐array MIMO airborne radar

Published:2021-07-16 Issue:12 Volume:15 Page:1628-1642
ISSN:1751-8784
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Cui Ning¹²^ORCID,Xing Kun¹,Duan Keqing³,Yu Zhongjun¹²^ORCID

Affiliation:

1. Aerospace Information Research Institute Chinese Academy of Sciences Beijing China

2. School of Electronic, Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China

3. School of Electronics and Communication Engineering Sun Yat‐sen University (SYSU) Guangzhou China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12152

Reference45 articles.

1. Signaling Strategies for the Hybrid MIMO Phased-Array Radar

2. Transmit Subaperturing for MIMO Radars With Co-Located Antennas

3. Joint Subarray Selection and Power Allocation for Cognitive Target Tracking in Large-Scale MIMO Radar Networks

4. Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars

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1. Knowledge-aided multi-dictionary block sparsity-aware STAP for airborne polarimetric conformal array radar;Signal Processing;2024-11

2. A novel sparse recovery space‐time adaptive processing algorithm using the log‐sum penalty to approximate the ℓ₀ − norm penalty;IET Radar, Sonar & Navigation;2024-05-23

3. Fast Heterogeneous Clutter Suppression Method Based on Improved Sparse Bayesian Learning;Electronics;2023-01-09

4. Reduced-Complexity Subarray-Level Sparse Recovery STAP for Multichannel Airborne Radar WGMTI Application;IEEE Transactions on Aerospace and Electronic Systems;2023

5. Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing;IEEE Transactions on Aerospace and Electronic Systems;2023

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