Collaborative beamforming for distributed wireless ad hoc sensor networks

By Hideki Ochiai, Patrick Mitran, H. Vincent Poor, Vahid Tarokh. IEEE Transactions on Signal Processing, 2005

615 citations recorded by the source corpus.

The performance of collaborative beamforming is analyzed using the theory of random arrays. The statistical average and distribution of the beampattern of randomly generated phased arrays is derived in the framework of wireless ad hoc sensor networks. Each sensor node is assumed to have a single isotropic antenna and nodes in the cluster collaboratively transmit the signal such that the signal in the target direction is coherently added in the far-field region. It is shown that with N sensor nodes uniformly distributed over a disk, the directivity can approach N, provided that the nodes are located sparsely enough. The distribution of the maximum sidelobe peak is also studied. With the application to ad hoc networks in mind, two scenarios (closed-loop and open-loop) are considered. Associated with these scenarios, the effects of phase jitter and location estimation errors on the average beampattern are also analyzed.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9e609e7106ca58a76685303d633ced5733f33387

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Citations in the corpus

MIMO Radar Using Compressive Sampling (2009, neutral): “[12] E. J. Candes and M. B. Wakin, “An introduction to compressive sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition],”IEEE Signal Processing Magazine, vol. 25, pp. 21 - 30 , March 2008.”
Energy-Efficient Cooperative Relaying over Fading Channels with Simple Relay Selection (2008, methodology): “Cooperative beamforming algorithms can then be used to save energy in transmitting data from the relays to the destination [5]–[9].”
On the Feasibility of Distributed Beamforming in Wireless Networks (2007, background): “They model the sensor locations as random and evaluate the effect of location (and phase) uncertainty on the average beampattern.”
Direct Localization for Massive MIMO (2016, background): “Four base stations are positioned at the corners; if the origin of the coordinate system is taken to be in the middle of the area, the base stations are [34] of radius 5 λ .”
Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks (2008, background): “Distributed beamforming schemes have been proposed in [6], [7], which require all cooperators to be synchronized and co-phased such that the signals from the cooperators can be combined constructively at the destination.”
Distributed transmit beamforming: challenges and recent progress (2009, background): “The probability distribution of the far-field beampattern of a distributed beamformer with node locations uniformly distributed on a two-dimensional disk of radius R was analyzed in [12].”