Dual blind deconvolution for joint radar-communications processing
Abstract
Radar and communication signals play a central role in applications such as wireless systems, surveillance and vehicle-to-vehicle communications. One of the key features to design these systems is the electromagnetic wave that transmits the information of the objects to be analyzed. However, due the overwhelming number of these mentioned systems already in circulation, the electromagnetic spectrum is saturated, leading to the need of designing more complex radar and communications systems. In fact, with a rapid surge in mobile network operators, there is a growing concern that mobile data traffic poses a formidable challenge toward realizing future wireless networks with available, limited spectrum. To overcome the limitation caused by the overwhelming number of used bands, this project studies mathematical conditions in which enabling both systems to operate in the same spectral band can be performed reliably and efficiently. Specifically, this project considers the spectral co-design model, where a common waveform is employed by the radar and communications system, while sharing the hardware resources at the transmitter and/or receiver. Mathematically, this coexistence approach is modeled as a dual blind deconvolution, which is a sum of the convolution between a standard pulse-Doppler radar signal with the radar channel, and between a communication signal with the line-of-sight communications channel. It is worth mentioning that all four quantities are unknown. Accordingly, in this project the extraction of all four of these quantities will be modeled as a dual blind deconvolution problem, which is an extension of the blind deconvolution problem wherein two unknown signals are estimated from an observation of their convolution. From a theoretical point of view the target results will significantly impact the theory of blind deconvolution since the proposed problem is a more general and complex case. Additionally, in a technological scenario these results will allow to develop reliable devices to efficiently handle radar and communication systems at the same time.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 25, 2021
- Source ID
- W911NF2110099
Entities
People
- Henry Argüello
Organizations
- Army Contracting Command
- Industrial University of Santander
- United States Army