TY - GEN
T1 - Beamforming in intelligent randomly distributed sensor networks using electrically-small dual-sector antennas for planetary exploration
AU - Soldner, Nicholas C.
AU - Lam, Chunwei Jethro
AU - Singer, Andrew C.
AU - Bernhard, Jennifer T.
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Dependence on a small set of surface rovers for surface and atmospheric exploration exposes missions to higher than acceptable probabilities of failure. To mitigate this situation, we have developed enabling technology for small, low power, low cost sensors that can be scattered from multiple orbiters or secondary craft and form networks. Since antenna size is expected to determine wireless sensor feasibility, an electrically small dual-sector antenna is developed which gives 100 MHz of 2:1 VSWR bandwidth from 2.61 GHz-2.71 GHz while occupying only 4 cm3. Sixteen of these antennas are placed randomly on a flat ground plane to determine the ability of the antenna network to transmit and receive data cooperatively from multiple angles. Performance is gauged by taking bit error rate measurements for various numbers of elements and angles. The beamforming algorithm presented is capable of establishing reliable communications regardless of relative positions and orientations of individual sensors.
AB - Dependence on a small set of surface rovers for surface and atmospheric exploration exposes missions to higher than acceptable probabilities of failure. To mitigate this situation, we have developed enabling technology for small, low power, low cost sensors that can be scattered from multiple orbiters or secondary craft and form networks. Since antenna size is expected to determine wireless sensor feasibility, an electrically small dual-sector antenna is developed which gives 100 MHz of 2:1 VSWR bandwidth from 2.61 GHz-2.71 GHz while occupying only 4 cm3. Sixteen of these antennas are placed randomly on a flat ground plane to determine the ability of the antenna network to transmit and receive data cooperatively from multiple angles. Performance is gauged by taking bit error rate measurements for various numbers of elements and angles. The beamforming algorithm presented is capable of establishing reliable communications regardless of relative positions and orientations of individual sensors.
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U2 - 10.1109/SMC-IT.2006.23
DO - 10.1109/SMC-IT.2006.23
M3 - Conference contribution
AN - SCOPUS:34247255475
SN - 0769526446
SN - 9780769526447
T3 - Proceedings - SMC-IT 2006: 2nd IEEE International Conference on Space Mission Challenges for Information Technology
SP - 366
EP - 372
BT - Proceedings - SMC-IT 2006
PB - IEEE Computer Society
T2 - SMC-IT 2006: 2nd IEEE International Conference on Space Mission Challenges for Information Technology
Y2 - 17 July 2006 through 20 July 2006
ER -