Short-Time State-Space Method for Micro-Doppler Identification of Walking Subject Using UWB Impulse Doppler Radar

@article{Ren2018ShortTimeSM,
  title={Short-Time State-Space Method for Micro-Doppler Identification of Walking Subject Using UWB Impulse Doppler Radar},
  author={Lingyun Ren and Nghia Tran and Farnaz Foroughian and Krishna Naishadham and Jean E. Piou and Ozlem Kilic and Aly E. Fathy},
  journal={IEEE Transactions on Microwave Theory and Techniques},
  year={2018},
  volume={66},
  pages={3521-3534}
}
In this paper, ultra-wideband (UWB) Doppler radar signatures from walking human subjects are processed with the state-space method (SSM) to analyze compressed radar echoes for the first time. A new mathematical model is proposed to detect the human walking strides using UWB radar, while micro-Doppler (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-D) features are extracted for gait analysis using short-time SSM (STSSM). To distinguish <inline-formula> <tex-math… 

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References

SHOWING 1-10 OF 53 REFERENCES

Estimation of Cardiopulmonary Parameters From Ultra Wideband Radar Measurements Using the State Space Method

A new algorithm based on the state space method (SSM) for the extraction of cardiac and respiration rates from UWB radar measurements is introduced, shown that SSM produces accurate estimates of the vital signs without producing harmonics and inter-modulation products that plague signal resolution in widely used FFT spectrograms.

UWB MicroDoppler Radar for human Gait analysis, tracking more than one person, and vital sign detection of moving persons

This study experimentally investigates applying UWB to tracking more than one human subject as well as detection of respiration rate of a moving person.

Noise-Robust Classification of Ground Moving Targets Based on Time-Frequency Feature From Micro-Doppler Signature

The real-valued probabilistic principal component analysis model is extended to the complex-value domain, and the CPPCA-BIC-based method can work without SNR prior information.

Radar micro-doppler for long range front-view gait recognition

  • D. TahmoushJ. Silvious
  • Computer Science
    2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems
  • 2009
The extraction of radar micro-Doppler signals generated by human motions at long range and with a front-view to use them as a biometric can serve as identifying features in a scene with multiple subjects.

A time-frequency classifier for human gait recognition

This paper proposes a gait classifier based on subspace learning using principal components analysis(PCA) and shows that gait signature is captured effectively in feature vectors and is used in training a minimum distance classifiers based on Mahalanobis distance metric.

Analysis of radar micro-Doppler signatures from experimental helicopter and human data

The findings show that the results have higher precision after the m-D extraction rather than before it, since only the vibrational/rotational components are employed.

Phase-Based Methods for Heart Rate Detection Using UWB Impulse Doppler Radar

To further enhance the accuracy of the HR estimation, a recently developed state-space method has been successfully combined with CSD and AD techniques and over 10 dB improvements in SNR is demonstrated.

CW and Pulse–Doppler Radar Processing Based on FPGA for Human Sensing Applications

In this paper, we discuss using field-programmable gate arrays (FPGAs) to process either time- or frequency-domain signals in human sensing radar applications. One example will be given for a

Analysis of Moving Human Micro-Doppler Signature in Forest Environments

This paper attempts to develop an accurate model accounting for the key contributions to the Doppler signature for the human motion in a forest environment and combines analytical techniques with full wave numerical methods to achieve a realistic representation of the signature from the scene.
...