TY - GEN
T1 - Design and analysis of low-complexity blind beam steering scheme for receive beamform
AU - Lin, You Hsien
AU - Ko, Ta
AU - Tsai, Tsung Yu
AU - Yeh, Shao Ying
AU - Hsu, Terng-Yin
PY - 2012
Y1 - 2012
N2 - The complexity of beamforming, such as complexity complex weighting and combining process, are extremely important for implementation. This work presents a low complexity time-domain statistic noise suppression and hierarchical beam search algorithm to improve performance in receivers. For SIMO-OFDM systems, the complexity of the hierarchical beam search algorithm is O(n 2log 2n). This work proposes a simple hierarchical beam search to find the best steering vector. Through performance evaluation, the BER performance is significantly improved with about 3dB under 10∧-5 BER in the case that L1=6 and L2=2 compared to that in the case L1=4 and L2=2. Besides, the BER performance is already quietly close to that achieved by the ideal beamform in the case of L1=6 and L2=4. This setting is a good choice which achieves a good tradeoff between the performance and the computational complexity. In addition, this algorithm is well-matched to different specifications.
AB - The complexity of beamforming, such as complexity complex weighting and combining process, are extremely important for implementation. This work presents a low complexity time-domain statistic noise suppression and hierarchical beam search algorithm to improve performance in receivers. For SIMO-OFDM systems, the complexity of the hierarchical beam search algorithm is O(n 2log 2n). This work proposes a simple hierarchical beam search to find the best steering vector. Through performance evaluation, the BER performance is significantly improved with about 3dB under 10∧-5 BER in the case that L1=6 and L2=2 compared to that in the case L1=4 and L2=2. Besides, the BER performance is already quietly close to that achieved by the ideal beamform in the case of L1=6 and L2=4. This setting is a good choice which achieves a good tradeoff between the performance and the computational complexity. In addition, this algorithm is well-matched to different specifications.
KW - Uniform Linear Array (ULA)
KW - angle of arrive (AoA)
KW - digital beamforming (DBF)
KW - steering vector
UR - http://www.scopus.com/inward/record.url?scp=84861423261&partnerID=8YFLogxK
U2 - 10.1109/WOCC.2012.6198159
DO - 10.1109/WOCC.2012.6198159
M3 - Conference contribution
AN - SCOPUS:84861423261
SN - 9781467309394
T3 - 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012
SP - 105
EP - 110
BT - 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012
T2 - 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012
Y2 - 19 April 2012 through 21 April 2012
ER -