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Sensors 2019, 19(8), 1753; https://doi.org/10.3390/s19081753

Joint Design of Transmit Waveforms for Object Tracking in Coexisting Multimodal Sensing Systems

1
Systems and Technology Research, Sensors & Signal Processing Group, Woburn, MA 01801, USA
2
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287-5706, USA
*
Author to whom correspondence should be addressed.
Received: 16 February 2019 / Revised: 26 March 2019 / Accepted: 29 March 2019 / Published: 12 April 2019
(This article belongs to the Special Issue Multiple Object Tracking: Making Sense of the Sensors)
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Abstract

We examine a multiple object tracking problem by jointly optimizing the transmit waveforms used in a multimodal system. Coexisting sensors in this system were assumed to share the same spectrum. Depending on the application, a system can include radars tracking multiple targets or multiuser wireless communications and a radar tracking both multiple messages and a target. The proposed spectral coexistence approach was based on designing all transmit waveforms to have the same time-varying phase function while optimizing desirable performance metrics. Considering the scenario of tracking a target with a pulse–Doppler radar and multiple user messages, two signaling schemes were proposed after selecting the waveform parameters to first minimize multiple access interference. The first scheme is based on system interference minimization, whereas the second scheme explores the multiobjective optimization tradeoff between system interference and object parameter estimation error. Simulations are provided to demonstrate the performance tradeoffs due to different system requirements. View Full-Text
Keywords: multiple object tracking; waveform design for active sensing; spectrum sharing; pulse–Doppler radar; multiuser wireless communications; multiobjective optimization multiple object tracking; waveform design for active sensing; spectrum sharing; pulse–Doppler radar; multiuser wireless communications; multiobjective optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kota, J.S.; Papandreou-Suppappola, A. Joint Design of Transmit Waveforms for Object Tracking in Coexisting Multimodal Sensing Systems. Sensors 2019, 19, 1753.

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