k-Level Extended Sparse Array Design for Direction-of-Arrival Estimation

Article Engineering, Aerospace

Cognitive Sparse Beamformer Design in Dynamic Environment via Regularized Switching Network

Xiangrong Wang et al.

Summary: This paper proposes a cognitive sparse beamformer that can adapt to environmental dynamics and improve spatial filtering performance through a perception-action cycle.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2023)

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Article Computer Science, Artificial Intelligence

UAV swarm based radar signal sorting via multi-source data fusion: A deep transfer learning framework

Liangtian Wan et al.

Summary: Utilizing UAV swarm for signal collection coupled with deep transfer learning algorithm effectively mitigates interference and missing pulses in radar signal sorting. By pre-training and fine-tuning the model, signal sorting accuracy can be significantly enhanced.

INFORMATION FUSION (2022)

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Editorial Material Engineering, Aerospace

Hand Gesture Recognition Using Radial and Transversal Dual Micromotion Features

Xiangrong Wang et al.

Summary: Most of the work in hand gesture recognition (HGR) focuses on developing diverse classification algorithms based on micro-Doppler (mD) spectrogram. In this work, the researchers propose a preprocessing method in frequency domain to reduce noise level and suppress nuisance cross-terms in HGR using interferometric radar. Experimental results show that the combination of mD processing and post-interferometry achieves the highest HGR accuracy of over 99%.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2022)

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Article Engineering, Electrical & Electronic

Structured Bayesian compressive sensing exploiting dirichlet process priors

Qisong Wu et al.

Summary: This paper proposes a structured and clustered multi-task compressive sensing framework that exploits the inner sparse pattern and statistical dependence between tasks. By adopting a signal model with spike-and-slab priors and Dirichlet Process priors, the method achieves enhanced sparse reconstruction performance.

SIGNAL PROCESSING (2022)

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Article Engineering, Electrical & Electronic

Structured sparse array design exploiting two uniform subarrays for DOA estimation on moving platform

Guodong Qin et al.

Summary: The paper proposes a structured sparse array design utilizing array motion to enhance the achievable degrees-of-freedom, which can be effectively used for direction-of-arrival estimation problems and results in a fully filled co-array. The sensor numbers in the two subarrays can be chosen as arbitrary integers without the limitation of coprimality.

SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

Efficient FFT based multi source DOA estimation for ULA

Yawen Tan et al.

Summary: This paper presents an accurate and fast direction-of-arrival (DOA) estimation method for multiple targets in additive white Gaussian noise. The method is based on a complex-valued least squares framework and utilizes the linearity of DFT bins for DOA calculation. Simulation results validate the advantages of the proposed method.

SIGNAL PROCESSING (2021)

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Article Computer Science, Information Systems

Machine Learning Empowered IoT for Intelligent Vehicle Location in Smart Cities

Liangtian Wan et al.

Summary: This article discusses the importance of vehicle localization in Intelligent Transportation Systems (ITS), as well as the proposed methods and technologies, including vehicle number estimation methods for non-circular signals and DOA estimation methods based on IoT. Through the application of machine learning techniques, the vehicle localization system demonstrates excellent performance and high estimation accuracy in smart cities.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic

Coarray MUSIC-Group Delay: High-Resolution Source Localization Using Non-Uniform Arrays

Shekhar Kumar Yadav et al.

Summary: The article introduces a new source localization technique called coarray MUSIC-Group delay (coarray MGD), utilizing the phase spectrum characteristics of coarray MUSIC to achieve more effective source localization and resolution of closely spaced sources when NULA is a uniform linear array. The proposed coarray MGD technique shows additive properties in the coarray spatial domain, allowing for better localization and resolution compared to the coarray MUSIC magnitude method. Numerical simulations confirm the high resolution performance of the proposed method.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic

Enhanced DOA Estimation Exploiting Multi-Frequency Sparse Array

Shuimei Zhang et al.

Summary: This paper presents a general framework of multi-frequency sparse array for estimating the direction-of-arrival of a significantly higher number of targets than the number of physical sensors. By providing zero lag redundancy and developing a modified sensor interpolation technique, the framework enables high-resolution DOA estimation and mitigates the effect of holes in the difference coarray. The proposed technique enhances the DOA estimation performance by considering both self-lags and cross-lags between signals corresponding to different frequencies, compared to existing methods. Simulation results verify the effectiveness of the multi-frequency sparse arrays.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

Generalized Non-Redundant Sparse Array Designs

Ammar Ahmed et al.

Summary: Novel generalized non-redundant sparse array design strategies are proposed to achieve the highest number of degrees-of-freedom for DOA estimation. The design framework provides non-redundant sparse array structures with minimum array aperture and maximum number of correlation lags, surpassing existing sparse array structures. Expansion in two new directions allows for arbitrary array aperture and reduced mutual coupling effects in the design.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

Sparse Symmetric Linear Arrays With Low Redundancy and a Contiguous Sum Co-Array

Robin Rajamaki et al.

Summary: Sparse arrays utilizing the co-array can handle more scatterers or sources than sensors. This paper introduces a symmetric array configuration suitable for both active and passive sensing, with analysis on contiguous sum and difference co-array conditions and comparison with existing array designs. The proposed Concatenated Nested Array and Klove Array achieve low redundancy and significantly increased resolution capabilities.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

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Article Telecommunications