[图书][B] Compressive sensing for wireless networks
Compressive sensing is a new signal processing paradigm that aims to encode sparse
signals by using far lower sampling rates than those in the traditional Nyquist approach. It …
signals by using far lower sampling rates than those in the traditional Nyquist approach. It …
[图书][B] Cognitive radio communication and networking: Principles and practice
The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …
notion of cognitive radio. The book begins with addressing issues such as the fundamental …
Compressed sensing technologies and challenges for aerospace and defense RF source localization
The paper presents an overview of technologies and challenges regarding the adoption of
Compressed Sensing (CS) framework for ideation of novel instrumentation systems, that …
Compressed Sensing (CS) framework for ideation of novel instrumentation systems, that …
Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing
We propose to fuse two main enabling features in cognitive radio systems (CRS): spectrum
sensing and location awareness in a single compressed sensing based formalism. In this …
sensing and location awareness in a single compressed sensing based formalism. In this …
Bayesian compressed sensing based dynamic joint spectrum sensing and primary user localization for dynamic spectrum access
In cognitive radio (CR) and dynamic spectrum access (DSA) network research, most of
current work on spectrum sensing focuses on the detection of existence of the spectrum …
current work on spectrum sensing focuses on the detection of existence of the spectrum …
Collaborative compressive sensing based dynamic spectrum sensing and mobile primary user localization in cognitive radio networks
In wideband cognitive radio (CR) networks, spectrum sensing is one of the key issues that
enable the whole network functionality. Collaborative spectrum sensing among the cognitive …
enable the whole network functionality. Collaborative spectrum sensing among the cognitive …
Geolocation of multiple noncooperative emitters using received signal strength: Sparsity, resolution, and detectability
K Bryan, DJ Walter - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper we investigate the problem of locating multiple non-cooperative radio
frequency (RF) emitters using only received signal strength (RSS) data. We assume that the …
frequency (RF) emitters using only received signal strength (RSS) data. We assume that the …
A novel RF emitter localization method through phase information
CA Berdanier, Z Wu - 2013 IEEE Radar Conference …, 2013 - ieeexplore.ieee.org
Localization of unknown radio frequency (RF) transmitters is useful for a variety of
applications such as clutter cancelation, cognitive radio, cognitive radar, bistatic and …
applications such as clutter cancelation, cognitive radio, cognitive radar, bistatic and …
Robust non-negative matrix factorization for joint spectrum sensing and primary user localization in cognitive radio networks
In this paper, a novel approach based on non-negative matrix factorization is applied for
joint spectrum sensing and primary user localization in cognitive radio networks. This …
joint spectrum sensing and primary user localization in cognitive radio networks. This …
Performance analysis of partial segmented compressed sampling
W Xu, Y Tian, J Lin - Signal processing, 2013 - Elsevier
Recently, a segmented AIC (S-AIC) structure that measures the analog signal by K parallel
branches of mixers and integrators (BMIs) was proposed by Taheri and Vorobyov (2011) …
branches of mixers and integrators (BMIs) was proposed by Taheri and Vorobyov (2011) …