Separation of Respiratory Signatures for Multiple Subjects Using Independent Component Analysis with the JADE Algorithm

Islam, Shekh Md Mahmudul; Yavari, Ehsan; Rahman, Ashikur; Lubecke, Victor M.; Borić–Lubecke, Olga

doi:10.1109/embc.2018.8512583

Cited by 35 publications

(25 citation statements)

References 9 publications

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“…How to improve and optimize its performance is an important work in the future. Recently, a new approach using Independent Component Analysis (ICA) with the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm was used for separating closely-spaced subjects, such as respiratory signatures [ 40 , 41 ]. The research demonstrates that this approach can maintain accurate and efficient monitor multiple subjects across a broad range of subject separation scenarios [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Wan

Liang

et al. 2021

Sensors

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Using millimeter-wave radar to scan and detect small foreign object debris (FOD) on an airport runway surface is a popular solution in civil aviation safety. Since it is impossible to completely eliminate the interference reflections arising from strongly scattering targets or non-homogeneous clutter after clutter cancellation processing, the consequent high false alarm probability has become a key problem to be solved. In this article, we propose a new FOD detection method for interference suppression and false alarm reduction based on an iterative adaptive approach (IAA) algorithm, which is a non-parametric, weighted least squares-based iterative adaptive processing approach that can provide super-resolution capability. Specifically, we first obtain coarse FOD target information by data preprocessing in a conventional detection method. Then, a refined data processing step is conducted based on the IAA algorithm in the azimuth direction. Finally, multiple pieces of information from the two steps above are used to comprehensively distinguish false alarms by fusion processing; thus, we can acquire accurate FOD target information. Real airport data measured by a 93 GHz radar are used to validate the proposed method. Experimental results of the test scene, which include golf balls with a diameter of 43 mm, were placed about 300 m away from radar, which show that the proposed method can effectively reduce the number of false alarms when compared with a traditional FOD detection method. Although metal balls with a diameter of 50 mm were placed about 660 m away from radar, they also can obtain up to 2.2 times azimuth super-resolution capability.

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Section: Discussionmentioning

confidence: 99%

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Wan

Liang

et al. 2021

Sensors

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“…Here, the WSF method [29] is introduced to reduce the estimation error. It is implemented by the AP algorithm, which also uses the receiving model in Equation (27).…”

Section: The Ap-wsf Fine Estimation Methodsmentioning

confidence: 99%

“…Cramer-Rao Lower Bound (CRLB) represents the lowest variance achieved by unbiased estimation [31,32]. Reference [33] gives the derivation process of the two-dimensional CRLB for the receiving model given in Equation (27). Accordingly, we have…”

Section: Cramer-rao Lower Bound and Theoretical Errormentioning

confidence: 99%

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

Wang

Zhang

Najafabadi

2021

IET Radar Sonar & Navi

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Integration of radar and communication (IRC) is conducive to improving hardware resource utilization and spectrum utilization. This paper proposes a joint range and velocity estimation method for IRC based on multi-symbol orthogonal frequency division multiplexing (OFDM) radar pulses. A two-step parameters estimation method is applied, where estimating the signal parameters via rotational invariance technique (ESPRIT) and weighted subspace fitting (WSF) perform rough and fine estimations. We first build a receiving model for integrated signal based on element-wise division. The ESPRIT method is then adopted based on the double Vandermonde structure array manifold for a rough estimation. It has relatively high estimation error but low computational complexity. The WSF method based on alternating projection (AP) algorithm is introduced to make the estimation more precise and reduce its error. It uses the estimation results in the first step and reduces the overall computational cost. Simulation results show that the proposed method reduces the computational complexity while improving the estimation accuracy compared with the WSF method.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Recent works tried to overcome such a limit. An SNR-based intelligent decision algorithm integrated two different approaches to isolate respiratory signatures of two subjects within the radar beamwidth [115]: Independent Component Analysis with the JADE algorithm (ICA-JADE) [116] and DOA [117], as shown in Fig. 8.…”

Section: B Crowd Detection and Signal-of-interest Extractionmentioning

confidence: 99%

Sensing of Life Activities at the Human-Microwave Frontier

Lubecke

Borić–Lubecke

et al. 2021

IEEE J. Microw.

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Separation of Respiratory Signatures for Multiple Subjects Using Independent Component Analysis with the JADE Algorithm

Cited by 35 publications

References 9 publications

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

Sensing of Life Activities at the Human-Microwave Frontier

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