Adaptive subspace signal detection in a type of structure-nonhomogeneity environment

Tang, Peiqin; Wang, Yongliang; Liu, Weijian; Du, Qian; Li, Binbin; Chen, Wei

doi:10.1016/j.sigpro.2020.107600

Cited by 14 publications

(3 citation statements)

References 22 publications

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“…The results in [182,183] were generalized in [184] for subspace signals. It was assumed in [185] that the noise interference lies in a subspace orthogonal to the signal subspace, and a detector was proposed according to the two-step Rao (2S-Rao) test, named two-step orthogonal SAMF (2S-OSAMF). Numerical examples demonstrated that the 2S-OSAMF exhibits better detection performance than its competitors even though the noise interference is completely unknown.…”

Section: Spectral Symmetrymentioning

confidence: 99%

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Multichannel adaptive signal detection: basic theory and literature review

Liu

Chen

et al. 2022

Sci. China Inf. Sci.

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136

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Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists. The resulting adaptive detectors typically possess constant false alarm rate (CFAR) properties; thus, no additional CFAR processing is required. In addition, a filtering process is also not required because the filtering function is embedded in the adaptive detector. Adaptive detection typically exhibits better detection performance than the filtering-then-CFAR detection technique. It has been approximately 35 years since the first multichannel adaptive detector was proposed by Kelly in 1986. However, there are few overview articles on this topic. Thus, in this study, we present a tutorial overview of multichannel adaptive signal detection with an emphasis on the Gaussian background. We discuss the main design criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection techniques, investigate the relationship between adaptive detectors and adaptive filters, summarize typical adaptive detectors, present numerical examples, provide a comprehensive literature review, and discuss potential future research tracks.

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Section: Spectral Symmetrymentioning

confidence: 99%

“…The results in [182,183] were generalized in [184] for the case of subspace signals. Note that other generalizations for noise interference can be found in [185,[187][188][189][190][191].…”

Section: Adaptive Detectors In the Presence Of Interferencementioning

confidence: 99%

Multichannel adaptive signal detection: basic theory and literature review

Liu

Chen

et al. 2022

Sci. China Inf. Sci.

Self Cite

136

View full text Add to dashboard Cite

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“…Moreover, Jain et al implemented an applicationspecific integrated circuit (ASIC) on a smartphone to detect symptoms in an energy-efficient manner [30]. Furthermore, several works have published multisensor or multichannel approaches [31,32].…”

Section: Introductionmentioning

confidence: 99%

Printed and Flexible ECG Electrodes Attached to the Steering Wheel for Continuous Health Monitoring during Driving

Warnecke

Ganapathy

Koch

et al. 2022

Sensors

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Continuous health monitoring in a vehicle enables the earlier detection of symptoms of cardiovascular diseases. In this work, we designed flexible and thin electrodes made of polyurethane for long-term electrocardiogram (ECG) monitoring while driving. We determined the time for reliable ECG recording to evaluate the effectiveness of the electrodes. We recorded data from 19 subjects under four scenarios: rest, city, highway, and rural. The recording time was five min for rest and 15 min for the other scenarios. The total recording (950 min) is publicly available under a CC BY-ND 4.0 license. We used the simultaneous truth and performance level estimation (STAPLE) algorithm to detect the position of R-waves. Then, we derived the RR intervals to compare the estimated heart rate with the ground truth, which we obtained from ECG electrodes on the chest. We calculated the signal-to-noise ratio (SNR) and averaged it for the different scenarios. Highway had the lowest SNR (−6.69 dB) and rural had the highest (−6.80 dB). The usable time of the steering wheel was 42.46% (city), 46.67% (highway), and 47.72% (rural). This indicates that steering-wheel-based ECG recording is feasible and delivers reliable recordings from about 45.62% of the driving time. In summary, the developed electrodes allow continuous in-vehicle heart rate monitoring, and our publicly available recordings provide the opportunity to apply more sophisticated data analytics.

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