Zobrazeno 1 - 10
of 41
pro vyhledávání: '"S.M. Kogon"'
Publikováno v:
2019 IEEE Radar Conference (RadarConf).
In this paper, a novel radar waveform phase function design is presented that constructs a radar waveform that spectrally manuevers around in-band co-channel interference (CCI) from active communications users that are co-channel with the radar syste
Publikováno v:
ACSSC
In this paper, a pulse-to-pulse diverse RF convergent waveform design technique is presented that constructs a radar waveform that can service both sensing operation and has the dual ability to represent communications symbols to an intended receiver
Publikováno v:
Electronics & Communication Engineering Journal. 11:49-56
This paper summarises a study of terrain-scattered interference (TSI) mitigation techniques, focusing on joint TSI mitigation and monostatic clutter nulling for airborne radars. It begins with an overview of TSI phenomenology and two-dimensional spac
Publikováno v:
2013 IEEE Radar Conference (RadarCon13).
Coherent Change Detection (CCD) is a powerful technique for detecting fine scene changes between two Synthetic Aperture Radar (SAR) images taken at different times. SAR CCD imagery can detect ground disturbances that are invisible in optical or tradi
Autor:
Dimitris G. Manolakis, S.M. Kogon
Publikováno v:
IEEE Transactions on Signal Processing. 44:1006-1010
The purpose of the correspondence is the introduction of fractional Levy stable motion (fLsm) as a model for signals with long-memory and high variability commonly encountered in natural processes. We present a concise description of this model from
Publikováno v:
ACSCC
Coherent change detection (CCD) is a powerful technique for detecting minute disturbances in synthetic aperture radar (SAR) imagery. Coherent change detection uses a test statistic to compare, pixel by pixel, two or more SAR images of the same scene.
Autor:
Jarred Barber, S.M. Kogon
Publikováno v:
ACSCC
Coherent Change Detection (CCD) is a powerful technique for detecting fine scene changes between two Synthetic Aperture Radar (SAR) images taken at different times. SAR CCD imagery can detect ground disturbances caused by vehicles or other activities
Autor:
Dimitris G. Manolakis, S.M. Kogon
Publikováno v:
Fractals. :303-306
Many data arising from natural phenomena exhibit "1/f" behavior, indicating a long-range dependence structure in the increments. The data is said to be self-similar or fractal, which has been traditionally modeled by fractional Brownian motion (fBm).
Autor:
S.M. Kogon
Publikováno v:
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
In this paper, the use of Initial diagonal loading in addition to a white noise gain constraint (WNGC) is investigated for robust adaptive beamforming. The WNGC controls both the amount of self-nulling loss and the resolving capability. The fundament
Publikováno v:
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
An important problem in adaptive beamforming algorithm design is robustness to steering vector uncertainty. A white-noise gain constraint (WNGC) has historically been an effective approach. Recently, the robust Capon beamforming class of algorithms h