@inproceedings{57e2389a19ca4ba6af797fac1b1d9914,
title = "Hardware Implementation of RF Spectral Convergence System on DASH SoC",
abstract = "Electromagnetic radio frequency (RF) Spec-tral Convergence enables better utilization of available spectrum by reducing wastage and enabling multi-function tasks. However, to achieve these performance enhancements we need high-performance processors that can operate at low power while being flexible and easy to program. A promising solution to the above class of problems are coarse-scale heterogeneous processors. We have developed Domain-focused Advanced Software-reconfigurable Het-erogeneous (DASH) system-on-chip (SoC) to demonstrate the feasibility of such architectures. DASH SoC addresses domain requirements of spectral convergence by offering high throughput rates with minimal energy expenditure. It also offers a high degree of reprogrammability which enables adaptability to the domain of real-time joint communications and radar systems for applications such as spectral situational awareness, RF Convergence as well as positioning, navigation, and timing (PNT). In this paper, we perform hardware implementation of a joint-radar communications receiver on DASH SoC to validate our claims related to the capabilities of DASH SoC.",
keywords = "FPGA, Heterogenous Processors, Low Power, RF convergence, System-on-chip, VLSI architectures, wireless communications",
author = "S. Siddiqui and A. Dutta and Chiriyath, \{A. R.\} and D. Silbernagel and P. Hemanth and O. Ma and J. Holtom and N. Luhana and Bliss, \{D. W.\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 ; Conference date: 29-10-2023 Through 01-11-2023",
year = "2023",
doi = "10.1109/IEEECONF59524.2023.10477039",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1552--1558",
editor = "Matthews, \{Michael B.\}",
booktitle = "Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023",
}