Li, Wei and Ni, Qiang (2010) Joint Channel Parameter Estimation Using Evolutionary Algorithm. In: Communications (ICC), 2010 IEEE International Conference on. IEEE, New York. ISBN 978-1-4244-6404-3Full text not available from this repository.
This paper proposes to utilise Evolutionary Algorithm (EA) to jointly estimate the Time of Arrival, Direction of Arrival, and amplitude of impinging waves in a mobile radio environment. The problem is presented as the joint Maximum Likelihood (ML) estimation of the channel parameters where typically, the high dimensional non-linear cost function is deemed to be too computationally expensive to be solved directly. Simulation results show that the proposed method is extremely robust to initialisation errors and low SNR environments, while at the same time it is also computationally more efficient than popular iterative ML methods i.e. the Space-Alternating Generalised Expectation-maximisation (SAGE) algorithm.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||10 Oct 2012 14:54|
|Last Modified:||28 Apr 2017 06:59|
Actions (login required)