Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sandeep Gogineni"'
Autor:
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1638-1651 (2024)
Abstract Leveraging the advanced functionalities of modern radio frequency (RF) modeling and simulation tools, specifically designed for adaptive radar processing applications, this paper presents a data‐driven approach to improve accuracy in radar
Externí odkaz:
https://doaj.org/article/db45abe081794452a6c11582bfff0937
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
Publikováno v:
IET Radar, Sonar & Navigation. 16:720-734
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb466b43c3c6ce17d933437c27be89eb
https://doi.org/10.1049/rsn2.12215
https://doi.org/10.1049/rsn2.12215
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916090
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fd879fcdcd1a32e24524e3c6009e140
https://doi.org/10.1007/978-981-19-1610-6_12
https://doi.org/10.1007/978-981-19-1610-6_12
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
Autor:
Yuting Ng, Ali Pezeshki, Bosung Kang, Yi Feng, Sandeep Gogineni, Robert Calderbank, Chayut Wongkamthong, Mohammadreza Soltani, Vahid Tarokh, Muralidhar Rangaswamy
Publikováno v:
2021 IEEE Radar Conference (RadarConf21).
We use a knowledge-aided, data-driven, location-aware approach based on the RFView simulation software to model and estimate the effect of ground clutter in airborne radars. Using the RFView simulator, we produce many samples of potential clutter eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8769803f75c53620ce297464791502
https://doi.org/10.1109/radarconf2147009.2021.9455318
https://doi.org/10.1109/radarconf2147009.2021.9455318
Publikováno v:
Sixth Annual Industrial Control System Security (ICSS) Workshop.
The deployment of a security on a network infrastructure requires the specification and enforcement of security policies that specify the allowed communication between devices on that network. However, there is a distinction between security policies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f5bad581f3ec140bd80c79fc0ed07c
https://doi.org/10.1145/3442144.3442148
https://doi.org/10.1145/3442144.3442148
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e151c7226c5e5fe4ab9cd9d1793c56
https://doi.org/10.1109/ieeeconf51394.2020.9443313
https://doi.org/10.1109/ieeeconf51394.2020.9443313
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3de55d0d175dde05d39b119ed7676055
https://doi.org/10.1109/radarconf2043947.2020.9266704
https://doi.org/10.1109/radarconf2043947.2020.9266704
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::889b7f4e156b8417e59ea03ff354a672
https://doi.org/10.1109/radarconf2043947.2020.9266466
https://doi.org/10.1109/radarconf2043947.2020.9266466