Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Valiulahi, Iman"'
This paper presents an off-the-grid estimator for ISAC systems using lifted atomic norm minimization (LANM). The main challenge in the ISAC systems is the unknown nature of both transmitted signals and radar-communication channels. We use a known dic
Externí odkaz:
http://arxiv.org/abs/2411.12672
This paper introduces an off-the-grid estimator for integrated sensing and communication (ISAC) systems, utilizing lifted atomic norm minimization (LANM). The key challenge in this scenario is that neither the transmit signals nor the radar-and-commu
Externí odkaz:
http://arxiv.org/abs/2411.09495
The idea of Integrated Sensing and Communication (ISAC) offers a promising solution to the problem of spectrum congestion in future wireless networks. This paper studies the integration of intelligent reflective surfaces (IRS) with ISAC systems to im
Externí odkaz:
http://arxiv.org/abs/2309.00978
In this paper, we propose a novel estimator for pilot-aided orthogonal frequency division multiplexing (OFDM) channels in an additive Gaussian and impulsive perturbation environment. Due to sensor failure which might happen because of man-made noise,
Externí odkaz:
http://arxiv.org/abs/1908.07729
Akademický článek
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A new model for sparse time dispersive channels in pilot aided OFDM systems is developed by considering prior knowledge on channel time dispersions. Weighted atomic norm minimization is implemented in the model which enables a more accurate channel e
Externí odkaz:
http://arxiv.org/abs/1810.10734
The aim of two-dimensional line spectral estimation is to super-resolve the spectral point sources of the signal from time samples. In many associated applications such as radar and sonar, due to cut-off and saturation regions in electronic devices,
Externí odkaz:
http://arxiv.org/abs/1807.01185
Publikováno v:
IEEE Transactions on Signal Processing, 2019
In this paper, we address the problem of recovering point sources from two dimensional low-pass measurements, which is known as super-resolution problem. This is the fundamental concern of many applications such as electronic imaging, optics, microsc
Externí odkaz:
http://arxiv.org/abs/1711.08239
In this paper, we provide a method to recover off-the-grid frequencies of a signal in two-dimensional (2-D) line spectral estimation. Most of the literature in this field focuses on the case in which the only information is spectral sparsity in a con
Externí odkaz:
http://arxiv.org/abs/1704.06922
Akademický článek
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