TY - GEN
T1 - Fast MUSIC algorithm for joint DOD-DOA estimation based on Gibbs Sampling in MIMO array
AU - Shi, Wentao
AU - He, Chengbing
AU - Huang, Jianguo
AU - Zhang, Qunfei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/22
Y1 - 2016/11/22
N2 - Multiple signal classification (MUSIC) algorithm has been used for joint Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in Multiple Input Multiple Output (MIMO) array. It has shown excellent angle estimation performance. However, the two dimensional angle peaks searching of MIMO MUSIC algorithm renders high computational complexity. In order to resolve this problem, a fast MIMO MUSIC algorithm for joint DOD-DOA Estimation based on Gibbs Sampling is proposed. The proposed algorithm combines Markov Monte Carlo method with MIMO MUSIC estimator. Firstly, the power of the MIMO MUSIC spectrum function is regarded as the target distribution up to a constant scalar, then the Gibbs sampler sample from the scalar, and the joint DOD-DOA estimation can be achieved from the linger position. Simulation results show that the proposed method not only keeps the similar DOA estimation performance which is achieved by the MIMO MUSIC algorithm, but also reduces the computational complexity.
AB - Multiple signal classification (MUSIC) algorithm has been used for joint Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in Multiple Input Multiple Output (MIMO) array. It has shown excellent angle estimation performance. However, the two dimensional angle peaks searching of MIMO MUSIC algorithm renders high computational complexity. In order to resolve this problem, a fast MIMO MUSIC algorithm for joint DOD-DOA Estimation based on Gibbs Sampling is proposed. The proposed algorithm combines Markov Monte Carlo method with MIMO MUSIC estimator. Firstly, the power of the MIMO MUSIC spectrum function is regarded as the target distribution up to a constant scalar, then the Gibbs sampler sample from the scalar, and the joint DOD-DOA estimation can be achieved from the linger position. Simulation results show that the proposed method not only keeps the similar DOA estimation performance which is achieved by the MIMO MUSIC algorithm, but also reduces the computational complexity.
KW - Computational complexity
KW - Gibbs Sampling
KW - joint Direction of Departure (DOD) and Direction of Arrival (DOA) estimation
KW - Multiple Input Multiple Output (MIMO) array
KW - MUSIC algorithm
UR - http://www.scopus.com/inward/record.url?scp=85006918671&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2016.7753676
DO - 10.1109/ICSPCC.2016.7753676
M3 - 会议稿件
AN - SCOPUS:85006918671
T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Y2 - 5 August 2016 through 8 August 2016
ER -