2018 26th Telecommunications Forum (TELFOR) 2018
DOI: 10.1109/telfor.2018.8612025
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Assessment of Linear Sampling Method and Factorization Method for Through the Wall Imaging

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Cited by 7 publications
(4 citation statements)
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“…where Γ is the arc on which the measuring antennas are located, Λ is the arc on which the exciting antennas are located, and D is the domain that is known to encapsulate the targets. Assuming that Γ = Λ and M antennas are used as transceiver and the sampling domain D is discretized into Q points {z 1 , z 2 , …, z Q }, the indicator function of the FM can be calculated as below [23,[31][32][33][34]36]:…”
Section: Factorization Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…where Γ is the arc on which the measuring antennas are located, Λ is the arc on which the exciting antennas are located, and D is the domain that is known to encapsulate the targets. Assuming that Γ = Λ and M antennas are used as transceiver and the sampling domain D is discretized into Q points {z 1 , z 2 , …, z Q }, the indicator function of the FM can be calculated as below [23,[31][32][33][34]36]:…”
Section: Factorization Methodsmentioning
confidence: 99%
“…For this reason, efficient quantitative inversion methods are being fulfilled recently [14][15][16][17][18]. On the contrary, qualitative MWI methods such as the linear sampling method [19][20][21][22][23][24][25][26][27][28], the orthogonality sampling method [27,29,30], the factorization method (FM) [6,23,28,[31][32][33][34][35][36][37], and the direct sampling method (DSM) [38] retrieve only shape and location information of the objects. The electrical features of the objects are not attained by such methods.…”
Section: Introductionmentioning
confidence: 99%
“…The effectiveness of the proposed antenna is demonstrated with a through-the-wall (TWI) microwave imaging example. TWI applications are including but are not limited to searching firearms, tracking people for rescue operations, and locating the position of pipes behind the wall [2]- [5]. In TWI scenarios, mostly, reconstructing only the shape and the position of the objects is aimed due to the existence of the wall, which has the feature of absorbing electromagnetic fields and preventing them to reach the objects hidden behind the wall.…”
Section: Introductionmentioning
confidence: 99%
“…Another method, known as Orthogonality Sampling Method (OSM), similar to the LSM, is also applied to determine the shape of the anomalous target both for the far-field and near-field application [33]- [35]. Apart from this, Factorization Method (FM), Multiple Signal Classification (MUSIC), KA based shape reconstruction strategies, and many more can also be helpful in estimating the shape of the scatterer [36]- [39].…”
Section: Introductionmentioning
confidence: 99%