Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Alexander M. Haimovich"'
Publikováno v:
IEEE Access, Vol 6, Pp 14238-14254 (2018)
In this paper, we propose a unified array geometry, dubbed generalized nested subarray (GNSA), for the underdetermined direction-of-arrival estimation. The GNSA is composed of multiple, identical subarrays, which can be a minimum redundancy array (MR
Externí odkaz:
https://doaj.org/article/88290d3ffd0b43db830ee3e71183898a
Publikováno v:
2023 57th Annual Conference on Information Sciences and Systems (CISS).
Publikováno v:
IEEE Transactions on Signal Processing. 69:3315-3324
This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criter
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems
Jiang, W, Haimovich, A M & Simeone, O 2021, ' Joint Design of Radar Waveform and Detector via End-to-end Learning with Waveform Constraints ', IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS . https://doi.org/10.1109/TAES.2021.3103560
Jiang, W, Haimovich, A M & Simeone, O 2021, ' Joint Design of Radar Waveform and Detector via End-to-end Learning with Waveform Constraints ', IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS . https://doi.org/10.1109/TAES.2021.3103560
The problem of data-driven joint design of transmitted waveform and detector in a radar system is addressed in this paper. We propose two novel learning-based approaches to waveform and detector design based on end-to-end training of the radar system
Publikováno v:
SAM
This paper addresses the problem of target detection against a background of clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector under the Neyman-Pearson criterion for general frequency snapshots
Publikováno v:
WOCC
Blind source separation of co-channel communication signals can be performed by structuring the problem with an over-complete dictionary of the channel and solving for the sparse coefficients, which represent the latent transmitted signals. $L_{1}$ r
Publikováno v:
CISS
Radio frequency sources with frequency hopping (FH) are observed at a fusion center via sensor measurements made over additive white Gaussian noise channels. The number of sources may be larger than the number of sensors, but their activity is sparse
Publikováno v:
ACSSC
An end-to-end learning approach is proposed for the joint design of transmitted waveform and detector in a radar system. Detector and transmitted waveform are trained alternately: For a fixed transmitted waveform, the detector is trained using superv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d6638f476e798e654462e0b445a656d
http://arxiv.org/abs/1912.00802
http://arxiv.org/abs/1912.00802
Publikováno v:
IEEE Access, Vol 6, Pp 14238-14254 (2018)
In this paper, we propose a unified array geometry, dubbed generalized nested subarray (GNSA), for the underdetermined direction-of-arrival estimation. The GNSA is composed of multiple, identical subarrays, which can be a minimum redundancy array (MR
Autor:
Alexander M. Haimovich, Wei Jiang
Publikováno v:
IEEE Signal Processing Letters. 24:1303-1307
In previous work, we have shown that the noncoherent direction of arrival (DOA) estimation by an array of sensors is insensitive to sensor phase errors. Here, we analyze the effects of sensor location errors on noncoherent DOA estimation. In the pres