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Phase Diagram-Based Sensing with Adaptive Waveform Design and Recurrent States Quantification for the Instantaneous Frequency Law Tracking
- Source :
- Sensors, Vol 19, Iss 11, p 2434 (2019), Sensors, Sensors, MDPI, 2019, 19 (11), pp.2434. ⟨10.3390/S19112434⟩, Volume 19, Issue 11, Sensors (Basel, Switzerland)
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Monitoring highly dynamic environments is a difficult task when the changes within the systems require high speed monitoring systems. An active sensing system has to solve the problem of overlapped responses coming from different parts of the surveyed environment. Thus, the need of a new representation space which separates the overlapped responses, is mandatory. This paper describes two new concepts for high speed active sensing systems. On the emitter side, we propose a phase-space-based waveform design that presents a unique shape in the phase space, which can be easily converted into a real signal. We call it phase space lobe. The instantaneous frequency (IF) law of the emitted signal is found inside the time series. The main advantage of this new concept is its capability to generate several distinct signals, non-orthogonal in the time/frequency domain but orthogonal within the representation space, namely the phase diagram. On the receiver side, the IF law information is estimated in the phase diagram representation domain by quantifying the recurrent states of the system. This waveform design technique gives the possibility to develop the high speed sensing methods, adapted for monitoring complex dynamic phenomena In our paper, as an applicative context, we consider the problem of estimating the time of flight in an dynamic acoustic environment. In this context, we show through experimental trials that our approach provides three times more accurate estimation of time of flight than spectrogram based technique. This very good accuracy comes from the capability of our approach to generate separable IF law components as well as from the quantification in phase diagram, both of them being the key element of our approach for high speed sensing.
- Subjects :
- Computer science
Context (language use)
02 engineering and technology
lcsh:Chemical technology
01 natural sciences
Biochemistry
Signal
Instantaneous phase
Article
Analytical Chemistry
[SPI]Engineering Sciences [physics]
instantaneous frequency law tracking
0202 electrical engineering, electronic engineering, information engineering
Waveform
lcsh:TP1-1185
phase space lobe
Electrical and Electronic Engineering
Instrumentation
ComputingMilieux_MISCELLANEOUS
Phase diagram
Common emitter
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
phase space diagram
010401 analytical chemistry
020206 networking & telecommunications
recurrence quantification analysis
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Time of flight
Recurrence quantification analysis
Frequency domain
Phase space
Law
Spectrogram
dynamic phenomena
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 19
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....61fae14bab8ed5dcc4fb8952981b271a
- Full Text :
- https://doi.org/10.3390/S19112434⟩