activity
20182021
most citedToward Unobtrusive In-home Gait Analysis Based on Radar Micro-Doppler Signatures

165 citations · 499 across the 23 of their papers we have counts for

collaborators

24 papers

eess.SP2021

Sparse Array Capon Beamformer Design Availing Deep Learning

Syed A. Hamza, Moeness G. Amin

The paper considers sparse array design for receive beamforming achieving maximum signal-to-interference plus noise ratio (MaxSINR). We develop a design approach based on supervise…

eess.SP2021

Cognitive-Driven Optimization of Sparse Array Transceiver for MIMO Radar Beamforming

Weitong Zhai, Xiangrong Wang, Syed A. Hamza +1

Cognitive multiple-input multiple-output (MIMO) radar is capable of adjusting system parameters adaptively by sensing and learning in complex dynamic environment. Beamforming perfo…

cs.IT2021

Information Decoding and SDR Implementation of DFRC Systems Without Training Signals

Daniel Wong, Batu K. Chalise, Justin Metcalf +1

Recent performance analysis of dual-function radar communications (DFRC) systems, which embed information using phase shift keying (PSK) into multiple-input multiple-output (MIMO)…

eess.SP2021

Sparse Array Transceiver Design for Enhanced Adaptive Beamforming in MIMO Radar

Syed A. Hamza, Weitong Zhai, Xiangrong Wang +1

Sparse array design aided by emerging fast sensor switching technologies can lower the overall system overhead by reducing the number of expensive transceiver chains. In this paper…

eess.SP2021

Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

Shiyong Li, Shuoguang Wang, Moeness G. Amin +1

Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection. A near-field imaging algorit…

eess.SP2020★ 49 cited

Sparse Array Beamforming Design for Wideband Signal Models

Syed A. Hamza, Moeness Amin

We develop sparse array receive beamformer design methods achieving maximum signal-to-interference plus noise ratio (MaxSINR) for wideband sources and jammers. Both tapped delay li…

eess.SP2020★ 13 cited

RF Sensing for Continuous Monitoring of Human Activities for Home Consumer Applications

Moeness G. Amin, Arun Ravisankar, Ronny G. Guendel

Radar for indoor monitoring is an emerging area of research and development, covering and supporting different health and wellbeing applications of smart homes, assisted living, an…

eess.SP2020

Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures

Baris Erol, Sevgi Zubeyde Gurbuz, Moeness G. Amin

Deep neural networks (DNNs) have recently received vast attention in applications requiring classification of radar returns, including radar-based human activity recognition for se…

eess.SP2019

Radar Human Motion Recognition Using Motion States and Two-Way Classifications

Moeness G. Amin, Ronny G. Guendel

We perform classification of activities of daily living (ADL) using a Frequency-Modulated Continuous Waveform (FMCW) radar. In particular, we consider contiguous motions that are i…

eess.SP2019

Arm Motion Classification Using Curve Matching of Maximum Instantaneous Doppler Frequency Signatures

Moeness G. Amin, Zhengxin Zeng, Tao Shan

Hand and arm gesture recognition using the radio frequency (RF) sensing modality proves valuable in manmachine interface and smart environment. In this paper, we use curve matching…

eess.SP2019

Sparse Array Design for Maximizing the Signal-to-Interference-plus-Noise-Ratio by Matrix Completion

Syed A. Hamza, Moeness G. Amin

We consider sparse array beamfomer design achieving maximum signal-to interference plus noise ratio (MaxSINR). Both array configuration and weights are attuned to the changing sens…

eess.SP2019★ 67 cited

Hybrid Sparse Array Beamforming Design for General Rank Signal Models

Syed A. Hamza, Moeness G. Amin

The paper considers sparse array design for receive beamforming achieving maximum signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple point…

eess.SP2019★ 40 cited

Automatic Arm Motion Recognition Based on Radar Micro-Doppler Signature Envelopes

Zhengxin Zeng, Moeness Amin, Tao Shan

In considering human-machine interface (HMI) for smart environment, a simple but effective method is proposed for automatic arm motion recognition with a Doppler radar sensor. Arms…

eess.SP2019★ 28 cited

2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging

Shiyong Li, Moeness Amin, Qiang An +2

The coherence factor (CF) is defined as the ratio of coherent power to incoherent power received by the radar aperture. The incoherent power is computed by the multi-antenna receiv…

eess.SP2019

Detection of Gait Asymmetry Using Indoor Doppler Radar

Ann-Kathrin Seifert, Abdelhak M. Zoubir, Moeness G. Amin

Doppler radar systems enable unobtrusive and privacy-preserving long-term monitoring of human motions indoors. In particular, a person's gait can provide important information abou…

eess.SP2019★ 14 cited

Sparse Array DFT Beamformers for Wideband Sources

Syed A. Hamza, Moeness G. Amin

Sparse arrays are popular for performance optimization while keeping the hardware and computational costs down. In this paper, we consider sparse arrays design method for wideband…

eess.SP2018

Radar Imaging by Sparse Optimization Incorporating MRF Clustering Prior

Shiyong Li, Moeness Amin, Guoqiang Zhao +1

Recent progress in compressive sensing states the importance of exploiting intrinsic structures in sparse signal reconstruction. In this letter, we propose a Markov random field (M…

eess.SP2018

DNN Transfer Learning from Diversified Micro-Doppler for Motion Classification

Mehmet Saygin Seyfioglu, Baris Erol, Sevgi Zubeyde Gurbuz +1

Recently, deep neural networks (DNNs) have been the subject of intense research for the classification of radio frequency (RF) signals, such as synthetic aperture radar (SAR) image…

eess.SP2018★ 2 cited

Hand Gesture Recognition based on Radar Micro-Doppler Signature Envelopes

Moeness G. Amin, Zhengxin Zeng, Tao Shan

We introduce a simple but effective technique in automatic hand gesture recognition using radar. The proposed technique classifies hand gestures based on the envelopes of their mic…

eess.SP2018★ 165 cited

Toward Unobtrusive In-home Gait Analysis Based on Radar Micro-Doppler Signatures

Ann-Kathrin Seifert, Moeness G. Amin, Abdelhak M. Zoubir

Objective: In this paper, we demonstrate the applicability of radar for gait classification with application to home security, medical diagnosis, rehabilitation and assisted living…

eess.SP2018★ 1 cited

Dual-Function MIMO Radar Communications System Design Via Sparse Array Optimization

Xiangrong Wang, Aboulnasr Hassanien, Moeness Amin

Spectrum congestion and competition over frequency bandwidth could be alleviated by deploying dual-function radar-communications systems, where the radar platform presents itself a…

eess.SP2018

Sparse Transmit Array Design for Dual-Function Radar Communications by Antenna Selection

Xiangrong Wang, Aboulnasr Hassanien, Moeness Amin

Dual-function radar communications (DFRC) systems have recently been proposed to enable the coexistence of radar and wireless communications, which in turn alleviates the increased…

cs.IT2018★ 44 cited

Performance Tradeoff in a Unified System of Communications and Passive Radar: A Secrecy Capacity Approach

Batu K. Chalise, Moeness G. Amin

In a unified system of passive radar and communication systems of joint transmitter platform, information intended for a communication receiver may be eavesdropped by a passive rad…

eess.SP2018★ 76 cited

Compressive Sensing Imaging of 3-D Object by a Holographic Algorithm

Shiyong Li, Guoqiang Zhao, Houjun Sun +1

Existing three-dimensional (3-D) compressive sensing-based millimeter-wave (MMW) imaging methods require a large-scale storage of the sensing matrix and immense computations owing…