Simultaneous amplitude measurement of multiple Chirp Spread Spectrum signals

In this paper, the Chirp Spread Spectrum technique is presented as a mean to consent simultaneous amplitude measurement of different signals. The scalability and the achievable accuracy are explored using simulations. It is shown that the proposed approach is quite scalable and consents accurate characterization of signals with very different amplitudes.

[1]  Alessio De Angelis,et al.  Simultaneous RSS Measurements Using Multiple Inductively Coupled Coils , 2019, 2019 IEEE International Symposium on Measurements & Networking (M&N).

[2]  Ronald L. Graham,et al.  Concrete Mathematics, a Foundation for Computer Science , 1991, The Mathematical Gazette.

[3]  David Macii,et al.  Timestamping of IEEE 802.15.4a CSS Signals for Wireless Ranging and Time Synchronization , 2013, IEEE Transactions on Instrumentation and Measurement.

[4]  Keith R. Godfrey,et al.  Practical Issues in the Synthesis of Ternary Sequences , 2017, IEEE Transactions on Instrumentation and Measurement.

[5]  Bo Zhang,et al.  Super-resolution algorithm for instantaneous ISAR imaging , 2000 .

[6]  Ting Sun,et al.  Mobile robust localization based on KF using inertial sensor and chirp-spread-spectrum ranging , 2015, 2015 9th International Conference on Sensing Technology (ICST).

[7]  Phil Meier,et al.  Application of magnetic field sensors for hand gesture recognition with neural networks , 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech).

[8]  Octavia A. Dobre,et al.  Chirp Spread Spectrum Toward the Nyquist Signaling Rate—Orthogonality Condition and Applications , 2017, IEEE Signal Processing Letters.

[9]  Jun Xiong,et al.  Cooperative positioning algorithm of swarm UAVs based on posterior linearization belief propagation , 2019, 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

[10]  Andrius Chaziachmetovas,et al.  Application of binary excitation spread spectrum signals for spectral compensation , 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[11]  Tom Oomen,et al.  Accurate FRF Identification of LPV Systems: nD-LPM With Application to a Medical X-Ray System , 2017, IEEE Transactions on Control Systems Technology.

[12]  Jafar Saniie,et al.  A generic parametric model for ultrasonic signal analysis , 2009, 2009 IEEE International Ultrasonics Symposium.

[13]  Ronald L. Graham,et al.  Concrete mathematics - a foundation for computer science , 1991 .

[14]  Alessio De Angelis,et al.  Design and Characterization of a Portable Ultrasonic Indoor 3-D Positioning System , 2015, IEEE Transactions on Instrumentation and Measurement.

[15]  Johan Schoukens,et al.  Parametric System Identification Using Quantized Data , 2015, IEEE Transactions on Instrumentation and Measurement.

[16]  Yan Yu,et al.  Toward Robust Indoor Localization Based on Bayesian Filter Using Chirp-Spread-Spectrum Ranging , 2012, IEEE Transactions on Industrial Electronics.

[17]  Dario Petri,et al.  Sampling criteria for the estimation of multisine signal parameters , 2001, IEEE Trans. Instrum. Meas..

[18]  Joseph M. Francos,et al.  Estimation of amplitude and phase parameters of multicomponent signals , 1995, IEEE Trans. Signal Process..

[19]  Behnaam Aazhang,et al.  Multistage detection in asynchronous code-division multiple-access communications , 1990, IEEE Trans. Commun..

[20]  Antonio Moschitta,et al.  Calibration and Characterization of a Magnetic Positioning System Using a Robotic Arm , 2019, IEEE Transactions on Instrumentation and Measurement.

[21]  Yang Zhou,et al.  Quasi-Orthogonal Chirp Signals Design for Multi-User CSS System , 2009, 2009 First International Conference on Information Science and Engineering.

[22]  Ramdas Kumaresan,et al.  Separation of cochannel signals using the parametric constant modulus algorithm , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[23]  Y. Bresler,et al.  Worst-case Cramer-Rao bound for parametric estimation of superimposed signals , 1990, Fifth ASSP Workshop on Spectrum Estimation and Modeling.

[24]  Hwan Hur,et al.  A Circuit Design for Ranging Measurement Using Chirp Spread Spectrum Waveform , 2010, IEEE Sensors Journal.

[25]  Sunho Park,et al.  Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems , 2015, IEEE Transactions on Signal Processing.