A novel joint parameter estimation method of single-channel and time-frequency overlapped multi-component signal

Pang, Lihui; Qi, Conghui

doi:10.1109/csqrwc.2013.6657368

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Although it is not easy to consider a fair comparison between the proposed method and FFT, it is assumed that K 1 = 32 (= 2 5 ). The reason of this setting is that 2 5 is a power of 2 and less than 40 that corresponds to the setting of U max = 40, the maximum number of SPC output ports.…”

Section: Computational Complexitymentioning

confidence: 99%

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A Simple Parameter Estimation Method for Periodic Signals Applicable to Vital Sensing Using Doppler Sensors

Kamiya

2017

SICE Journal of Control, Measurement, and System Integration

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: A Doppler sensor enables us to detect the movement of objects. It transmits an electro-magnetic wave and receives signals yielded by the reflection at the objects so that we can detect the movement of the objects by measuring the frequency deviation between the transmitted-and the received signals. Recently, it is also drawing attention as a tool of non-contact vital sensing such as heartbeats and breathing. This is particularly interesting as a means for monitoring of patients in hospitals or residents in nursing homes in order to make such facilities more efficient. In this paper, aiming at such application, we propose a new very simple signal processing scheme in order to estimate (1) the number of signals, (2) the period of each signal, and (3) the fundamental waveform. It is also emphasized that the estimations (1)-(3) are available for two signals. The performance is verified through computer simulations.

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Section: Computational Complexitymentioning

confidence: 99%

“…However, it would not be available for highly correlated multiple signals. Although the methods presented in [5] and [6] are capable to cope with the multiple signals, they cannot estimate the fundamental waveform at the same time. Similarly, the several methods compared in [7] also do not estimate the fundamental waveform.…”

Section: Introductionmentioning

confidence: 99%

A Simple Parameter Estimation Method for Periodic Signals Applicable to Vital Sensing Using Doppler Sensors

Kamiya

2017

SICE Journal of Control, Measurement, and System Integration

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A simple non-contact vital sensing method using Doppler sensors applicable to multiple targets

Kamiya

2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This paper proposed a new very simple method for non-contact vital sensing using Doppler sensors. It is emphasized that the proposed method can cope with multiple bodies even if they are closely located. The proposed method enables us to estimate (1) The number of signal (NOS), (2) the fundamental waveform, (3) the period, and (4) Direction of arrival (DOA), for each of the incoming signals. In addition, the proposed method is computationally effective so that it is advantageous for the hardware implementation. Some numerical examples are provided for performance verification.

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A simple signal detection and waveform estimation for biometrics using Doppler sensors

Yano

Kamiya

2016

2016 IEEE 13th International Conference on Signal Processing (ICSP)

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A novel joint parameter estimation method of single-channel and time-frequency overlapped multi-component signal

Cited by 4 publications

References 9 publications

A Simple Parameter Estimation Method for Periodic Signals Applicable to Vital Sensing Using Doppler Sensors

A Simple Parameter Estimation Method for Periodic Signals Applicable to Vital Sensing Using Doppler Sensors

A simple non-contact vital sensing method using Doppler sensors applicable to multiple targets

A simple signal detection and waveform estimation for biometrics using Doppler sensors

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