Noise Radar; pseudo-random waveform; frequency modulation; FPGA
Abstract :
[en] Noise Radar technology is the general term used to describe radar systems that employ realizations of a given stochastic process as transmit waveforms. With the advances made in hardware as well as the rise of the software defined noise radar concept, waveform design emerges as an important research area related to such systems. Several optimization algorithms have been proposed to generate pseudo-random waveforms with specific desired features, specially with respect to sidelobes. Nevertheless, not only modifying random waveforms may
compromise their LPI performance, but also the implementation of such algorithms in real time applications may not be feasible. Within this context, this paper analyzes varied design architectures for FM/PM pseudo-noise waveform generation, considering a real-time application. The proposed architectures are verified in a co-simulation environment using the Xilinx System Generator tool and implemented on reconfigurable hardware, i.e., a Xilinx Field Programmable Gate Array (FPGA) is taken into consideration. Timing, resource consumption, and the trade-offs related to hardware area and performance are then investigated.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Alisson, Barreto; Brazilian Army Technology Center - CTEx > Radar Division
Leandro, Pralon; Brazilian Army Technology Center - CTEx > Radar Division
Bruno, Pompeo; Brazilian Army Technology Center > Radar Division
Pralon, Mariana
TEDGUE BELTRAO, Gabriel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
External co-authors :
no
Language :
English
Title :
FPGA Design and Implementation of a Real-time FM/PM Pseudo Random Waveform Generation for Noise Radars
Publication date :
2020
Event name :
2020 IEEE Radar Conference (RadarConf20)
Event date :
from 21-09-2020 to 25-09-2020
Main work title :
Proceedings of the 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020