Coverage in Hybrid Mobile Sensor Networks
IEEE Transactions on Mobile Computing
Distributed beamforming for wireless sensor networks with random node location
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes
IEEE Transactions on Wireless Communications
On rate-optimal MIMO signalling with mean and covariance feedback
IEEE Transactions on Wireless Communications
Statistical eigenmode transmission over jointly correlated MIMO channels
IEEE Transactions on Information Theory
Distributed transmit beamforming: challenges and recent progress
IEEE Communications Magazine
An algorithm for multisource beamforming and multitarget tracking
IEEE Transactions on Signal Processing
Time-Slotted Round-Trip Carrier Synchronization for Distributed Beamforming
IEEE Transactions on Signal Processing
Computationally efficient maximum likelihood estimation ofstructured covariance matrices
IEEE Transactions on Signal Processing
A Cross-Layer Approach to Collaborative Beamforming for Wireless Ad Hoc Networks
IEEE Transactions on Signal Processing - Part I
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Convergence of a Class of Decentralized Beamforming Algorithms
IEEE Transactions on Signal Processing
Beamforming Algorithms for Information Relaying in Wireless Sensor Networks
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Exploiting smart antennas in wireless mesh networks using contention access
IEEE Wireless Communications
Precoding of space-time block coded signals for joint transmit-receive correlated MIMO channels
IEEE Transactions on Wireless Communications
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
On distances in uniformly random networks
IEEE Transactions on Information Theory
Smart antennas in software radio base stations
IEEE Communications Magazine
Communications through time-varying subspace channels
IEEE Journal on Selected Areas in Communications
Distributed null-steering beamforming for wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Sidelobe control in collaborative beamforming via node selection
IEEE Transactions on Signal Processing
Wireless Communications & Mobile Computing
Hi-index | 35.69 |
Null-steering transmit beamformers aim to maximize the received signal power in the direction of the intended receiver while substantially reducing the power impinging on the unintended receivers located in other directions. The existing null-steering beamformers may not be directly applied in wireless sensor networks (WSNs) as they do not conform with the decentralized nature of WSNs and require every node to be aware of the locations of all other nodes in the network. This manuscript presents a novel collaborative null-steering beamformer that can be implemented in uniformly distributed WSNs in which each node is oblivious of other nodes' locations. The average beampattern expression of the proposed beamformer is derived and it is shown that the beampattern associated with any arbitrary realization of the nodes' locations converges with probability one to the so-obtained average beampattern as the number of collaborating nodes grows large. Properties of the average beampattern are analytically studied. In particular, it is proven that the average gain of the proposed beamformer is inversely proportional to the number of collaborating nodes in the directions of unintended receivers and further, if a mild condition is satisfied, it is approximately equal to that of the collaborative conventional beamformer in the directions with far angular distance from any unintended receiver. It is argued that if virtual unintended receivers are assumed at proper directions, then the proposed collaborative null-steering beamformer can form an average beampattern with sidelobe peaks substantially smaller than those of the average beampattern of the collaborative conventional beamformer. To substantiate this argument, the optimal direction of a virtual unintended receiver is obtained such that its associated collaborative null-steering beamformer forms an average beampattern with minimal largest sidelobe peak. Depending on the number of collaborating nodes, it is further shown that the largest average sidelobe peak of the latter beamformer is up to 6.6 (dB) less than that of the collaborative conventional beamformer.