Source localization and beamforming - IEEE Signal Processing Magazine

By Ralph E. Hudson. 2001

556 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4132073234c5e1bf6714d02291b4df73f314edc3

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Citations in the corpus

A Convergent Incremental Gradient Method with a Constant Step Size (2007, background): “Based on a far-field assumption and an isotropic acoustic wave propagation model [12, 32, 37], the problem of estimation of source location can be formulated as a non-linear least squares problem.”
Off-Grid Direction of Arrival Estimation Using Sparse Bayesian Inference (2011, background): “tational efﬁciency compared with other algorithms. The algorithm can maintain the high estimation accuracy subject to very coarse sampling grid. 1 Introduction Source localization using sensor arrays [1,2] has been an active research area for decades. Two cases, near-ﬁeld and far-ﬁeld sources, are u”
Locating the nodes: cooperative localization in wireless sensor networks (2005, background): “However, acoustic sensor arrays may already be required in devices for many environmental monitoring and security applications, in which the purpose of the sensor network is to identify and locate acoustic sources [47].”
Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution (2007, background): “Recently, there has been renewed interest in this research, mainly driven by the emergency 911 location ability imposed to wireless services [3], [4] as well as sensor network applications [5].”
A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “Ad hoc sensor networks depend on distributed target localization and estimation techniques [ 8 ], [21], [29], where tracking accuracy may have to be traded off in practice to adhere to constraints such as energy consumption, communication latency, etc.”
Grassmannian beamforming for multiple-input multiple-output wireless systems (2003, methodology): “The optimal beamforming solution for this system (in the sense of maximizing the received signal-to-noise ratio (SNR)) is to use the dominant right singular vector as the transmit beamforming vector and the dominant left singular vector as the optimum combiner ([11], [12]).”
A Survey on Localization for Mobile Wireless Sensor Networks (2009, methodology): “In the audible acoustic band, several novel localization systems have been developed, including beamforming [36], a sniper detection system [37], and generalized sound source localization [38].”
Distributed optimization in sensor networks (2004, background): “Estimating the location of an acoustic source is an important problem in both environmental and military applications [2, 12].”
Sensor network-based countersniper system (2004, methodology): “There exist similar two-step techniques where in the first step the TDOA data is calculated (or alternatively, measured), and in the second step the location is calculated, [2], [12], [14].”
Wireless sensor network localization techniques (2007, methodology): “Depending on the setting, the energy required for transmitting a single bit could be used to execute 1000–2000 instructions [103].”