Time-Frequency Separation of Matched-Waveform Signatures of Coexisting Multimodal Systems

Gattani, Vineet Sunil; Kota, John; Papandreou-Suppappola, Antonia

doi:10.1109/acssc.2018.8645255

Cited by 1 publication

(1 citation statement)

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“…Coexistence methods, on the other hand, design a joint transmit waveform for multiple spectrum sharing systems. Various such approaches were developed for coexisting radar and communications systems [18,22,23,24,25,26,27,28,29]. For example, both systems shared orthogonal frequency division multiplexing signaling in References [22,23] and linear frequency-modulated chirp signaling in References [24,25,26].…”

Section: Introductionmentioning

confidence: 99%

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

Kota

Papandreou-Suppappola

2019

Sensors

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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.

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