Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Joseph R. Guerci"'
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
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
Publikováno v:
2019 IEEE Radar Conference (RadarConf).
Both fully adaptive radar (FAR), and cognitive fully adaptive radar (CoFAR), require “input-output” knowledge of the composite radar channel to jointly optimize transmit-receive functions. Obtaining this information adaptively for single-input, s
Publikováno v:
2018 IEEE Radar Conference (RadarConf18).
Traditional multiple-input, multiple-output (MIMO) radar techniques use a fixed set of quasiorthogonal waveforms transmitted from unique phase centers in the system antenna array. Recent research in cognitive radar has resulted in new ways of thinkin
Publikováno v:
2015 IEEE Radar Conference (RadarCon).
A new theoretical foundation for the joint design and operation (JDO) of shared spectrum access for radar and communications (SSPARC) is presented. The JDO SSPARC framework entails advanced radar-comms channel estimation, along with a real-time adapt
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 42:997-1009
This paper presents a framework for incorporating knowledge sources directly in the space-time beamformer of airborne adaptive radars. The algorithm derivation follows the usual linearly-constrained minimum-variance (LCMV) space-time beamformer with
Autor:
Joseph R. Guerci
Publikováno v:
Principles of Modern Radar: Advanced techniques ISBN: 9781891121531
This chapter develops the basic theory of optimal transmit/receive design using a multi-input, multi-output (MIMO) formulation that can account for all potential degrees of freedom (DOFs) such as waveform (fast-time), angle, and polarization. Various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a68df252f24a98ead2255338d090be5d
https://doi.org/10.1049/sbra020e_ch3
https://doi.org/10.1049/sbra020e_ch3
Publikováno v:
2008 IEEE Antennas and Propagation Society International Symposium.
MIMO techniques induce a virtual extension of the antenna aperture, which results in lower MDV compared to conventional radar systems. Future work will include high-fidelity I/Q data simulations and experimental data collections to validate that the
Publikováno v:
2008 IEEE Radar Conference.
This paper develops the theory of both optimum and adaptive MIMO radar. It is shown that the optimum MIMO transmit-receiver pair consists of a coupled multidimensional eigensystem and whitening matched filter. Also introduced, is an design procedure
Publikováno v:
IEEE International Radar Conference, 2005..
Waveform optimization is a technique that can be used to adjust any or all of the radar transmitter degrees of freedom (DoFs) based on observations of a dynamic environment caused by intentional and/or unintentional interference sources. These DoFs i