Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Joseph R. Guerci"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 4, Pp 720-734 (2022)
Abstract The paper addresses channel state information estimation for a cognitive radar system. The underlying radar signal model considered in this paper is based on a stochastic Green's function approach. In the radar model, the clutter returns can
Externí odkaz:
https://doaj.org/article/b659cb686af8440e888899450c967f80
Autor:
Joseph R. Guerci
Chronicling the new field of cognitive radar (CR), this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. The first
Publikováno v:
IET Radar, Sonar & Navigation. 16:720-734
Autor:
Sandeep Gogineni, Joseph R. Guerci, Hoan K. Nguyen, Jameson S. Bergin, David R. Kirk, Brian C. Watson, Muralidhar Rangaswamy
In this paper, we present a tutorial overview of state-of-the-art radio frequency (RF) clutter modeling and simulation (M&S) techniques. Traditional statistical approximation based methods will be reviewed followed by more accurate physics-based stoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bed102527c808c9d2333a09a4deaa9b
Publikováno v:
ACSSC
This paper considers estimation of channel state information of a radar system. The underlying radar signal model considered in this paper is based on a stochastic Green’s function. In this model, clutter returns can be modeled using a channel matr
Autor:
J.S. Bergin, H. K. Nguyen, Sandeep Gogineni, Joseph R. Guerci, Brian C. Watson, Muralidhar Rangaswamy
Publikováno v:
2020 IEEE Radar Conference (RadarConf20).
Cognitive radar has emerged as key enabling technology to meet the demands of ever increasingly complex and congested radio frequency (RF) operating environments. The generally non-stationary, heterogeneous, and time-varying nature of the modern RF e
Autor:
J.S. Bergin, Sandeep Gogineni, Brian C. Watson, Joseph R. Guerci, H. K. Nguyen, Muralidhar Rangaswamy
Publikováno v:
2020 IEEE Radar Conference (RadarConf20).
Cognitive radar has emerged as key enabling technology to meet the demands of ever increasingly complex and congested radio frequency (RF) operating environments. The generally non-stationary, heterogeneous, and time-varying nature of the modern RF e
Publikováno v:
2020 IEEE International Radar Conference (RADAR).
In this paper, we will develop a frequency-domain algorithm for estimating the channel impulse responses corresponding to wideband multi-channel radar systems. The multiple channels can correspond to different spatial locations or polarizations. Furt
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 32:24-36
Truly persistent surveillance of moving vehicles in urban areas spanning approximately 1,000 km2 is a desirable capability that does not exist due to the generally non-line-of-sight (non-LOS) nature of urban terrain. Radar is an attractive sensing mo
Autor:
J.S. Bergin, Joseph R. Guerci
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 33:51-53
MIMO radar is a very controversial hot topic. MIMO radar researchers have claimed 10 dB or 20 dB advantages relative to boring old phased array radars, but crusty old radar engineers have doubted such assertions and poked holes in their analysis. Ten