Communications on Applied Electronics |
Foundation of Computer Science (FCS), NY, USA |
Volume 6 - Number 3 |
Year of Publication: 2016 |
Authors: Yawar Ali Sheikh, Zhongfu Ye, Rizwan Ullah, Kashif Shabir, Dawei Luo |
10.5120/cae2016652437 |
Yawar Ali Sheikh, Zhongfu Ye, Rizwan Ullah, Kashif Shabir, Dawei Luo . Near Field Source Localization in the Presence of Array Sensor Position Uncertainties. Communications on Applied Electronics. 6, 3 ( Nov 2016), 1-6. DOI=10.5120/cae2016652437
The accuracy of near-filed source localization is sensitive to the precise knowledge of array sensor positions. Therefore, numerous efforts have been made to propose robust near-field source localization algorithms against array uncertainties. This paper presents the findings attained on the study and investigation of the effects of sensor position uncertainties to the performance of Differential Evolution (DE) algorithm for Direction of Arrival (DOA) and range estimation of near field sources, impinging on a uniform linear array (ULA). Mean square error (MSE) is used as a fitness evaluation function because of its single snapshot requirement to convergence and accurate performance even in negative SNR. The main contribution of this paper is to explore the robustness of DE algorithm against sensor position uncertainties for near-field source localization. The robustness is tested on the basis of a large number of Monte-Carlo simulations and their statistical analysis.