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

Area of Science:

• Signal Processing
• Wireless Communications
• Radar Systems

Background:

• Multiple object tracking and wireless communication systems often face spectrum sharing challenges.
• Coexisting sensors require optimized waveform design for efficient spectral coexistence.

Purpose of the Study:

• To jointly optimize transmit waveforms in a multimodal system for improved spectral coexistence.
• To address the challenge of shared spectrum between radar tracking and multiuser wireless communication.

Main Methods:

• Developed a spectral coexistence approach by designing transmit waveforms with a shared time-varying phase function.
• Proposed two signaling schemes: one for system interference minimization and another for multiobjective optimization.
• Optimized waveform parameters to minimize multiple access interference.

Main Results:

• Demonstrated performance tradeoffs between system interference and object parameter estimation error.
• Simulations validated the effectiveness of the proposed signaling schemes under different system requirements.

Conclusions:

• Joint waveform optimization is crucial for efficient spectral coexistence in multimodal systems.
• The proposed methods offer a flexible approach to balance interference and estimation accuracy based on application needs.