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pro vyhledávání: '"atomic norm"'
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
Atomic norm minimization (ANM) is a key approach for line spectral estimation (LSE). Most related algorithms formulate ANM as a semidefinite programming (SDP), which incurs high computational cost. In this letter, we revisit the ANM problem and prese
Externí odkaz:
http://arxiv.org/abs/2411.08459
Autor:
Li, Rui1 (AUTHOR) li_rui@njust.edu.cn, Yang, Jianchao1 (AUTHOR) yangjianchao999@126.com, Dai, Zheng1 (AUTHOR), Lu, Xingyu1 (AUTHOR), Tan, Ke1 (AUTHOR), Su, Weimin1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 18, p5936. 14p.
Autor:
Zhu, Bin
The area of spectral analysis has a traditional dichotomy between continuous spectra (spectral densities) which correspond to purely nondeterministic processes, and line spectra (Dirac impulses) which represent sinusoids. While the former case is imp
Externí odkaz:
http://arxiv.org/abs/2410.12358
Autor:
Zhu, Bin, Tang, Jiale
This paper proposes a novel approach for line spectral estimation which combines Georgiou's filter bank (G-filter) with atomic norm minimization (ANM). A key ingredient is a Carath\'{e}odory--Fej\'{e}r-type decomposition for the covariance matrix of
Externí odkaz:
http://arxiv.org/abs/2410.12349
Intelligent reflecting surface (IRS) is expected to play a pivotal role in future wireless sensing networks owing to its potential for high-resolution and high-accuracy sensing. In this work, we investigate a multi-target direction-of-arrival (DoA) e
Externí odkaz:
http://arxiv.org/abs/2409.09982
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, allowing for a low complexity representation of the channel matrix. In t
Externí odkaz:
http://arxiv.org/abs/2409.01166
The effect of noise on the Inverse Synthetic Aperture Radar (ISAR) with sparse apertures is a challenging issue for image reconstruction with high resolution at low Signal-to-Noise Ratios (SNRs). It is well-known that the image resolution is affected
Externí odkaz:
http://arxiv.org/abs/2406.10888
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