dc.contributor.author | Shahid, Aroob | |
dc.contributor.author | Supervised by Dr. Abdul Ghafoor | |
dc.date.accessioned | 2020-10-26T05:02:32Z | |
dc.date.available | 2020-10-26T05:02:32Z | |
dc.date.issued | 2012-11 | |
dc.identifier.other | TEE-190 | |
dc.identifier.other | MSEE-15 | |
dc.identifier.uri | http://10.250.8.41:8080/xmlui/handle/123456789/4748 | |
dc.description.abstract | Through wall imaging approaches are highly desirable for a range of critical situations in which information about people and objects across obstacles is of imperative importance for saving human life. Estimation of wall parameters (thickness and permittivity) is critical challenge that must be addressed to make TWI systems operationally feasible. Existing wall parameters estimation algorithms suffer from limitation like accuracy, bi-static arrangements which lead to serious safety concerns. Proposed scheme addresses the issues (of existing wall parameters estimation algorithms like accuracy and requirement of bi-static arrangements) by providing mono-static arrangement which is hardware implementable (handheld, portable device) and user can operate it from a certain standoff distance. It overcomes the limitation of multiple antenna locations (standoff distances) also by providing provides static antenna arrangement. It works on the difference of measured and actual time of backscattered echo signals from the target to estimate wall parameters estimation. The results of the proposed scheme produce fair estimates of wall parameters in through the wall imaging. It is shown via simulation results that proposed scheme estimate wall parameters accurately (in comparison to true/actual wall parameters). | en_US |
dc.language.iso | en | en_US |
dc.publisher | MCS | en_US |
dc.title | Wall characteristics estimation / extraction for through the wall imaging systems | en_US |
dc.type | Thesis | en_US |